The Year in AI Papers
The year/Topics/Agents

Topic area

Agents

Every collection across agents.

Papers
275
Research labs
10
Official code
214

1–50 of 275 papers in this topic area

01

Independent research

LongHorizon-Harness: Advancing Long-Horizon Agents for Real-World Tasks

LongHorizon-Harness, from Alibaba's DreamX Team, addresses long-horizon LLM agent failures by reformulating execution as task-state management. It uses a Manage-Execute-Audit (MEA) loop: a manager maintains explicit task state and defines subtasks, a fresh-context executor performs each subtask, and a read-only auditor independently verifies environment…

Ziyu Ma, Hailang Huang, Shun Zou, Yong Wang, et al.
Published
Aug 2026
Citations
0
Code
311 stars
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02

Independent research

AskChem: Claim-Centered Infrastructure for Chemistry Literature Synthesis

AskChem is a claim-centered infrastructure for cross-paper chemistry search, shifting the retrieval unit from documents to provenance-carrying claims. Each claim is an atomic, typed assertion extracted from a paper, grounded by a source DOI and a verbatim quote or evidence locator. The system indexes 2.4M claims from 147K papers (1925–2026) and exposes…

Bing Yan, Gregory Wolfe, Stefano Martiniani, Kyunghyun Cho
Published
Jul 2026
Citations
0
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03

Independent research

Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering

The paper introduces OpenMLE, an open full-stack system for studying recursive self-improvement (RSI) in machine learning engineering (MLE), and Frontis-MA1-35B, a meta-evolution agent trained on this stack. OpenMLE comprises OpenMLE-Gym (5,758 quality-gated executable tasks with sandboxed execution), OpenMLE-ERL (execution-grounded SFT and RL training of…

Junlin Yang, Che Jiang, Yu Fu, Tianwei Luo, et al.
Published
Jul 2026
Citations
0
Code
212 stars
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04

Independent research

Qwen-UI-Agent Technical Report: Toward Next-Generation Real-World Centric Foundation GUI Agents

Qwen-UI-Agent is a foundation GUI agent designed for real-world use across mobile, computer, web, and DeepSearch environments. It integrates scalable sandbox environments with a real-device mobile runtime (over 100 devices, 150+ apps), a unified action space interleaving GUI, CLI, and batched actions, an AutoResearch-style data flywheel, and a harness…

Hanzhang Zhou, Panrong Tong, Xu Zhang, Quyu Kong, et al.
Published
Jul 2026
Citations
0
Code
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05

Independent research

DecoEvo: Score-Decoupled Co-Evolution of Solver and Rubric-Generator Skills in Text Space

DecoEvo is a text-space optimization framework that co-evolves a solver skill and a rubric-generator skill under decoupled objectives, avoiding the pitfalls of score-coupled co-adaptation. The solver skill is updated using criterion-level feedback from generated rubrics, while the generator skill is revised through two audits: a task-conditioned structural…

Jiangwang Chen, Zixin Song, Junlin Liu, Shuaiyu Zhou, et al.
Published
Jul 2026
Citations
2
Code
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06

Independent research

CodeNib: A Multi-View Data System for Serving Repository Context to Coding Agents

CodeNib is a multi-view data system that serves repository context to coding agents by building reusable lexical, dense, and structural views per repository commit, mapping outputs to repository-relative source ranges, and maintaining views across edits. It addresses three challenges: heterogeneous views (C1), incremental freshness (C2), and agent delivery…

Zhongming Yu, Hengjia Yu, Boqin Yuan, Shuting Zhao, et al.
Published
Jul 2026
Citations
0
Code
74 stars
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07

Independent research

From Proprietary to Open-Source: Bridging the Distribution Gap via Multi-Agent Protocol Distillation in Agentic Search

The paper introduces Multi-Agent Protocol Distillation (MAPD), a framework for distilling knowledge from proprietary LLMs to open-source student models in agentic search. It addresses two bottlenecks: inaccessible logits and tokenizer mismatches that prevent logit-matching, and style drift from imitating raw natural-language trajectories. MAPD uses a…

Junlin Liu, Jiangwang Chen, Zixin Song, Shuaiyu Zhou, et al.
Published
Jul 2026
Citations
3
Code
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08

Independent research

A New Role for Relevance: Guiding Corpus Interaction in Agentic Search

The paper introduces the Relevance-Aware RipGrep Search Agent (RARG), which uses relevance as an execution prior to guide corpus interaction in agentic search. RARG ranks documents with an embedding retriever and makes ripgrep traverse them in that order, exposing matches from more relevant documents earlier. It has two extensions: RARG+ seeds the agent…

Jiangnan Li, Yuqing Li, Mo Yu, Jinchao Zhang, et al.
Published
Jul 2026
Citations
0
Code
51 stars
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09

Independent research

JarvisHub: An Open Harness for Canvas-Native Multimodal Creative Agents

JarvisHub is an open, canvas-native agent harness designed for long-horizon multimodal creative tasks, addressing the limitations of prompt-to-output tools, chat-based agents, and node-based workflows that fail to maintain a unified project state. It treats an editable canvas as the shared workspace, external memory, and action space, representing…

Yunlong Lin, Zixu Lin, Zhaohu Xing, Biqiang Li, et al.
Published
Jul 2026
Citations
0
Code
277 stars
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10

Independent research

StateAct: Program State, before Pixels, for Long-Horizon Computer-Use Agents

StateAct is a code-first, multi-agent harness for long-horizon computer-use tasks that grounds the main agent in program state (files, DOM, backends) rather than screenshots, which are lossy and non-injective. The main agent acts via code, while a dedicated GUI subagent handles visual interaction on only 28 of 108 tasks and 1.1% of main-agent steps. An…

Yan Yang, Xiangru Jian, Ziyang Luo, Zirui Zhao, et al.
Published
Jul 2026
Citations
0
Code
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11

Independent research

AREX: Towards a Recursively Self-Improving Agent for Deep Research

AREX is a family of recursively self-improving deep research agents developed by BAAI. It exploits the discovery-verification asymmetry in deep research by alternating between an inner research loop that gathers evidence and constructs provisional answers, and an outer self-improvement loop that audits answers constraint-wise, identifies unresolved claims,…

Shuqi Lu, Chaofan Li, Kun Luo, Zhang Zhang, et al.
Published
Jul 2026
Citations
0
Code
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12

Independent research

SWE-Pruner Pro: The Coder LLM Already Knows What to Prune

SWE-Pruner Pro is a method for pruning long tool outputs in coding agents by reading line-level importance directly from the agent's own internal representations, eliminating the need for a separate scoring model or explicit goal-hint query. A lightweight head, trained with a per-sample balanced focal loss and a length-aware embedding, converts the frozen…

Yuhang Wang, Yuling Shi, Shaoqiu Zhang, Jialiang Liang, et al.
Published
Jul 2026
Citations
0
Code
16 stars
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13

Independent research

EvolvingWorld: An Open-Schema Framework for Co-Evolving Role-Play Agents and World Model in Interactive Literary World

EvolvingWorld is a framework and benchmark for simulating interactive literary worlds where characters and the world co-evolve over long horizons. It addresses limitations of existing systems that treat role-play as static persona imitation or isolated scene generation. The framework uses an open-schema design, coupling a Character Agent for…

Qing Zong, Yue Guo, Mengxin Yang, Yiwen Guo, et al.
Published
Jul 2026
Citations
0
Code
18 stars
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14

Independent research

DataFlow-Harness: A Grounded Code-Agent Platform for Constructing Editable LLM Data Pipelines

DataFlow-Harness is a platform that bridges the NL2Pipeline gap, where coding agents produce scripts that are not persistent, editable platform artifacts. It guides an LLM agent to construct platform-native DAGs via typed, incremental mutations, combining DataFlow-Skills for procedural guidance, an MCP layer for live operator registry and pipeline state,…

Runming He, Zhen Hao Wong, Hao Liang, Zimo Meng, et al.
Published
Jul 2026
Citations
0
Code
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15

Independent research

SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration

SearchOS is a multi-agent framework for robust open-domain information seeking. It formulates information-seeking tasks as relational schema completion with grounded citations, where agents discover entities, populate attributes across linked tables, and anchor each value to source evidence. To manage long-horizon search, it introduces Search-Oriented…

Yuyao Zhang, Junjie Gao, Zhengxian Wu, Jiaming Fan, et al.
Published
Jul 2026
Citations
0
Code
503 stars
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16

Independent research

Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable

The paper introduces Harness Handbook, a behavior-centric representation for agent harnesses that links system behaviors to their distributed source implementations, addressing the challenge of behavior localization during harness evolution. It is constructed automatically via static analysis and LLM-assisted structuring, organizing knowledge into a…

Ruhan Wang, Yucheng Shi, Zongxia Li, Zhongzhi Li, et al.
Published
Jul 2026
Citations
1
Code
292 stars
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17

Independent research

KnowAct-GUIClaw: Know Deeply, Act Perfectly, Personal GUI Assistant with Self-Evolving Memory and Skill

KnowAct-GUIClaw is a personal GUI assistant framework built on the 'Know Deeply, Act Perfectly' paradigm to address OpenClaw's limitations in cross-platform GUI interaction and self-evolution. It uses a Know-Route-Act-Reflect loop: the host agent decomposes tasks and allocates them (Know), a router classifies tasks and transfers data via a blackboard…

Yunxin Li, Jinchao Li, Shibo Su, Zhenran Xu, et al.
Published
Jul 2026
Citations
0
Code
482 stars
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18

Independent research

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models

This paper introduces function-aware fill-in-the-middle (FIM) mid-training to improve coding agent foundation models. The authors observe that a coding agent's action-observation-continuation loop is structurally similar to a function call site, and they exploit this by masking functions selected via program dependency graph analysis and a…

Yubo Wang, Jiarong Liang, Yuxuan Zhang, Xuye Liu, et al.
Published
Jul 2026
Citations
0
Code
18 stars
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19

Independent research

RAGU: A Multi-Step GraphRAG Engine with a Compact Domain-Adapted LLM

RAGU is an open-source, modular GraphRAG engine that addresses three obstacles in existing systems: single-pass extraction, dependence on expensive LLMs, and engineering immaturity. It separates extraction from consolidation via a six-stage pipeline: chunking, two-stage typed extraction (entities then relations) under the NEREL schema, DBSCAN-backed…

Mikhail Komarov, Ivan Bondarenko, Stanislav Shtuka, Oleg Sedukhin, et al.
Published
Jul 2026
Citations
0
Code
118 stars
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20

Independent research

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory

ABot-AgentOS is a general robotic Agent Operating System that provides a deliberative layer above low-level controllers, enabling scene-conditioned planning, context-isolated skill execution, multi-stage verification, multi-modal memory, and edge-cloud collaboration. It introduces Universal Multi-modal Graph Memory, a persistent, source-grounded substrate…

Jiayi Tian, Shiao Liu, Yuting Xu, Jia Lu, et al.
Published
Jul 2026
Citations
0
Code
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21

Independent research

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading

Long-Horizon-Terminal-Bench is a new benchmark of 46 containerized terminal tasks across nine categories, designed to test AI agents on long-horizon workflows. Unlike prior benchmarks that use binary pass/fail grading, it decomposes each task into graded subtasks, providing dense partial-credit rewards. Tasks require an average of 239 episodes, 9.8M…

Zongxia Li, Zhongzhi Li, Yucheng Shi, Ruhan Wang, et al.
Published
Jul 2026
Citations
3
Code
467 stars
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22

Independent research

DeepSearch-World: Self-Distillation for Deep Search Agents in a Verifiable Environment

The paper introduces DeepSearch-World, a deterministic and verifiable offline environment for deep search agents, built on a Wikipedia corpus with 420K multi-hop QA tasks. It also presents DeepSearch-Evolve, a self-distillation framework that iteratively generates, filters, and converts scaffolded trajectories into ReAct-format supervision for student…

Xinyu Geng, Xuanhua He, Sixiang Chen, Yanjing Xiao, et al.
Published
Jul 2026
Citations
1
Code
8 stars
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23

Independent research

Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual Generation

Visual generators fail on requests requiring world knowledge beyond their training data, such as new characters or recent events. The authors introduce SEARCHGEN-20K, a dataset of 20,939 prompts with twelve failure categories, and SEARCHGEN-BENCH, where open generators score only 21–28 out of 100, a 40-point drop from standard benchmarks. Naive search…

Haozhe Wang, Weijia Feng, Jinpeng Yu, Che Liu, et al.
Published
Jul 2026
Citations
2
Code
115 stars
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24

Independent research

ResearchStudio-Idea: An Evidence-Grounded Research-Ideation Skill Suite from ML Conference Outcomes

ResearchStudio-Idea is a suite of three skills for evidence-grounded research ideation in machine learning. It includes Paper-Search for multi-source literature grounding, Scoop-Check for prior-art collision checking, and IdeaSpark, an end-to-end skill that composes evidence grounding, pattern-guided generation, collision retrieval, audit, and idea-card…

Qihao Zhao, Yangyu Huang, Yalun Dai, Lingao Xiao, et al.
Published
Jul 2026
Citations
1
Code
2.1K stars
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25

Independent research

UI-MOPD: Multi-Platform On-Policy Distillation for Continual GUI Agent Learning

The paper introduces UI-MOPD, a method for continual learning of multi-platform GUI agents, addressing challenges like scarce cross-platform data and behavioral pattern mixing. It constructs Uni-GUI, a dataset of ~10K high-quality trajectories from desktop and mobile environments, and proposes multi-teacher on-policy distillation (MOPD) with…

Niu Lian, Alan Chen, Zhehao Yu, Chengzhen Duan, et al.
Published
Jul 2026
Citations
1
Code
56 stars
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26

Independent research

AgenticSTS: A Bounded-Memory Testbed for Long-Horizon LLM Agents

The paper introduces AgenticSTS, a bounded-memory testbed for long-horizon LLM agents, instantiated in the game Slay the Spire 2. Instead of appending raw transcripts, the agent composes each decision prompt from five typed layers (L1-L5): fixed protocol, state schemas, game rules, episodic summaries, and triggered strategic skills. This contract keeps…

Xiangchen Cheng, Yunwei Jiang, Jianwen Sun, Zizhen Li, et al.
Published
Jul 2026
Citations
0
Code
123 stars
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27

Independent research

Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent

Agents-A1 is a 35B Mixture-of-Experts agentic model that achieves trillion-parameter-level performance by scaling the agent horizon rather than parameters. The authors built a long-horizon knowledge-action infrastructure that connects external knowledge, actions, observations, and verifier outcomes, producing agentic trajectories averaging 45K tokens.…

Lei Bai, Zongsheng Cao, Yang Chen, Zhiyao Cui, et al.
Published
Jun 2026
Citations
3
Code
529 stars
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28

Independent research

RESOURCE2SKILL: Distilling Executable Agent Skills from Human-Created Multimodal Resources

Resource2Skill is a framework that automatically distills multimodal human-created resources—tutorial videos, repositories, articles, and reference artifacts—into executable skills for software agents, organized as a hierarchical multimodal Skill Wiki. Each skill entry combines structured text, code, visual examples, metadata, and provenance, preserving…

Yijia Fan, Zonglin Di, Zimo Wen, Yifan Yang, et al.
Published
Jun 2026
Citations
0
Code
368 stars
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29

Independent research

Agentic Abstention: Do Agents Know When to Stop Instead of Act?

The paper introduces Agentic Abstention, the problem of deciding when an LLM agent should stop acting and abstain rather than continue interacting with an environment. Unlike single-turn LLM abstention, this is a sequential decision problem where agents can answer, abstain, or act at each turn. The authors construct a benchmark of over 28,000 tasks across…

Han Luo, Bingbing Wen, Lucy Lu Wang
Published
Jun 2026
Citations
0
Code
42 stars
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30

Independent research

Dockerless: Environment-Free Program Verifier for Coding Agents

Dockerless is an environment-free agentic program verifier that evaluates code patches without executing them, using agentic repository exploration to gather evidence. It generates verification questions from the issue and reference patch, dispatches parallel sub-agents to collect evidence-backed answers, and produces a correctness score. Trained via…

Wenhao Zeng, Yuling Shi, Xiaodong Gu, Chao Hu, et al.
Published
Jun 2026
Citations
1
Code
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31

Independent research

OPID: On-Policy Skill Distillation for Agentic Reinforcement Learning

OPID (On-Policy Skill Distillation) is a framework for agentic reinforcement learning that extracts hierarchical hindsight skills from completed on-policy trajectories to provide dense token-level supervision, complementing sparse outcome-based RL. It represents trajectory hindsight as episode-level skills (global workflows or failure-avoidance rules) and…

Shuo Yang, Jinyang Wu, Zhengxi Lu, Yuhao Shen, et al.
Published
Jun 2026
Citations
8
Code
106 stars
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32

Independent research

Are We Ready For An Agent-Native Memory System?

This paper presents a systematic experimental study of agent memory systems for LLM agents, decomposing them into four core modules: representation/storage, extraction, retrieval/routing, and maintenance. The authors evaluate 12 representative memory systems and two baselines across five benchmark workloads (11 datasets), finding that no single…

Wei Zhou, Xuanhe Zhou, Shaokun Han, Hongming Xu, et al.
Published
Jun 2026
Citations
7
Code
129 stars
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33

Qwen

Qwen-AgentWorld: Language World Models for General Agents

Qwen-AgentWorld introduces the first language world models (LWMs) for simulating agentic environments across seven domains (MCP, Search, Terminal, SWE, Android, Web, OS). Trained on over 10 million real-world interaction trajectories via a three-stage pipeline (CPT, SFT, RL), the models (35B-A3B and 397B-A17B) predict next environment states given actions.…

Yuxin Zuo, Zikai Xiao, Li Sheng, Fei Huang, et al.
Published
Jun 2026
Citations
0
Code
931 stars
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34

Independent research

NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers?

NatureBench is a benchmark of 90 tasks distilled from peer-reviewed Nature-family publications (2022–2025) to evaluate whether AI coding agents can move beyond reproduction toward scientific discovery. It is built on NatureGym, an automated pipeline that converts papers into containerized task packages with an information firewall, hidden ground truth, and…

Yuru Wang, Lejun Cheng, Yuxin Zuo, Sihang Zeng, et al.
Published
Jun 2026
Citations
1
Code
89 stars
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35

Together AI

ParallelKernelBench: Benchmarking LLMs on Multi-GPU Kernel Generation

The paper introduces ParallelKernelBench (PKB), a benchmark for evaluating LLMs on multi-GPU CUDA kernel generation. PKB includes 87 problems spanning parallelism strategies (tensor, expert, data, sequence, context) and real workloads from production frameworks. Evaluations of frontier models (GPT-5.5, Opus-4.7, Gemini 3 Pro, GLM-5.2, DeepSeek V4 Pro) show…

Willy Chan, Nathan Paek, Simon Guo, Simran Arora, et al.
Published
Jun 2026
Citations
Not indexed
Code
47 stars
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36

Independent research

EnterpriseClawBench: Benchmarking Agents from Real Workplace Sessions

EnterpriseClawBench is an enterprise agent benchmark built from 5,291 real workplace sessions at an AI startup, yielding 852 reproducible tasks (120 in a manually audited Lite subset). The pipeline applies mechanical gates (length, fixture, redaction, network) and rewrites prompts into single-turn tasks with role/skill taxonomies, hard rules, and semantic…

Jincheng Zhong, Weizhi Wang, Che Jiang, Kai Tian, et al.
Published
Jun 2026
Citations
0
Code
46 stars
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37

Independent research

PlanBench-XL: Evaluating Long-Horizon Planning of LLM Tool-Use Agents in Large-Scale Tool Ecosystems

PlanBench-XL is a new interactive benchmark for evaluating long-horizon planning of LLM tool-use agents in large-scale tool ecosystems. It consists of 327 retail tasks over 1,665 tools, requiring agents to iteratively retrieve tools, infer implicit sub-goals, and adapt to dynamic environments. The benchmark features a retrieval-mediated environment with…

Jiayu Liu, Qihan Lin, Cheng Qian, Rui Wang, et al.
Published
Jun 2026
Citations
4
Code
38 stars
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38

Independent research

Multi-LCB: Extending LiveCodeBench to Multiple Programming Languages

Multi-LCB is a benchmark extending LiveCodeBench (LCB) to twelve programming languages (C++, C#, Python, Java, Rust, Go, TypeScript, JavaScript, Ruby, PHP, Kotlin, Scala) to evaluate LLM code generation beyond Python. It converts LCB's Python tasks into a unified STDIN/STDOUT format, preserving contamination controls and evaluation protocol, and…

Maria Ivanova, Pavel Zadorozhny, Rodion Levichev, Ivan Petrov, et al.
Published
Jun 2026
Citations
1
Code
27 stars
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39

Independent research

OpenRath: Session-Centered Runtime State for Agent Systems

OpenRath addresses the hidden-runtime-state problem in multi-agent systems by introducing Session, a first-class runtime value that carries conversation chunks, lineage, sandbox placement, tool evidence, memory events, and usage. The programming model, inspired by PyTorch's architecture, defines objects like Agent, Workflow, Tool, Memory, Sandbox, and…

Fukang Wen, Zhijie Wang, Ruilin Xu
Published
Jun 2026
Citations
0
Code
1.1K stars
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40

Independent research

GameCraft-Bench: Can Agents Build Playable Games End-to-End in a Real Game Engine?

GameCraft-Bench is a benchmark for evaluating coding agents on end-to-end game generation in the Godot engine. It formalizes the task as transforming natural-language specifications into complete, playable game projects, requiring three desiderata: Engine Grounding, Artifact Completeness, and Interactive Verification. The benchmark includes 140 tasks…

Tongxu Luo, Rongsheng Wang, Jiaxi Bi, Chenming Xu, et al.
Published
Jun 2026
Citations
1
Code
191 stars
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41

Independent research

MemSlides: A Hierarchical Memory Driven Agent Framework for Personalized Slide Generation with Multi-turn Local Revision

MemSlides is a hierarchical memory framework for personalized presentation generation that separates long-term memory (user profile memory and tool memory) from working memory. User profile memory stores intent-conditioned preferences for round-0 personalization, working memory carries active preferences and session constraints across revision rounds, and…

Ye Jin, Yangyang Xu, Jun Zhu, Yibo Yang
Published
Jun 2026
Citations
0
Code
1K stars
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42

Independent research

From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI

This survey paper by Tencent Youtu Lab and academic partners frames the evolution of Large Language Models (LLMs) as a shift from conversational chatbots to persistent, autonomous 'Digital Colleagues.' The authors organize this transition along two dimensions: the cognitive core (from fast, next-token-prediction 'Chatbot' models to 'Thinking LLMs' that use…

Yongheng Zhang, Ziang Liu, Jiaxuan Zhu, Shuai Wang, et al.
Published
Jun 2026
Citations
3
Code
Not linked
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43

Independent research

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments

The paper introduces EvoArena, a benchmark suite for evaluating LLM agents under persistent environment evolution, and EvoMem, a patch-based memory paradigm that records memory updates as structured histories. EvoArena comprises three subsets: Terminal-Bench-Evo (evolving terminal workflows), SWE-Chain-Evo (evolving codebases), and PersonaMem-Evo (evolving…

Jundong Xu, Qingchuan Li, Jiaying Wu, Yihuai Lan, et al.
Published
Jun 2026
Citations
0
Code
21 stars
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44

Independent research

Claw-SWE-Bench: A Benchmark for Evaluating OpenClaw-style Agent Harnesses on Coding Tasks

Claw-SWE-Bench is a multilingual SWE-bench-style benchmark and adapter protocol for evaluating general-purpose agent harnesses (claws) on coding tasks. It comprises 350 GitHub issue-resolution instances across 8 languages and 43 repositories, drawn from SWE-bench-Multilingual and SWE-bench-Verified-Mini after future-commit cleanup. The benchmark fixes…

Mengyu Zheng, Kai Han, Boxun Li, Haiyang Xu, et al.
Published
Jun 2026
Citations
2
Code
96 stars
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45

Independent research

Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application

This paper surveys the field of agentic environment engineering for large language models (LLMs), covering the full lifecycle of environment modeling, synthesis, evaluation, and application. It defines agentic environments as dynamic, interactive systems for training and evaluating LLM agents, contrasting them with traditional RL simulators. The survey…

Jiachun Li, Zhuoran Jin, Tianyi Men, Yupu Hao, et al.
Published
Jun 2026
Citations
1
Code
Not linked
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46

Independent research

FORT-Searcher: Synthesizing Shortcut-Resistant Search Tasks for Training Deep Search Agents

The paper introduces FORT-Searcher, a deep search agent trained using FORT, a framework for synthesizing shortcut-resistant training data. The authors argue that existing methods for creating deep search tasks often fail to induce real search difficulty because agents can exploit shortcuts, such as evidence co-coverage, single-clue selectivity, exposed…

Jia Deng, Yimeng Chen, Xiaoqing Xiang, Ziyang Zeng, et al.
Published
Jun 2026
Citations
1
Code
27 stars
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47

Independent research

JoyAI-VL-Interaction: Real-Time Vision-Language Interaction Intelligence

JoyAI-VL-Interaction introduces a paradigm shift from turn-based to proactive, streaming interaction for vision-language models. The authors release an 8B-scale, vision-first model that continuously watches live video and decides each second to stay silent, respond, or delegate complex tasks to a background model. Built on JoyAI-VL 1.0 with AdaCodec for…

Dingyu Yao, Junhao Zhou, Chenxu Yang, Chuanyu Qin, et al.
Published
Jun 2026
Citations
2
Code
1.7K stars
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48

Independent research

Data Journalist Agent: Transforming Data into Verifiable Multimodal Stories

The paper introduces Data Journalist Agent (Data2Story), a multi-agent framework that transforms raw data into verifiable, multimodal articles. It orchestrates seven roles (Detective, Analyst, Editor, Designer, Programmer, Auditor, Inspector) into a virtual newsroom. Key innovations are evidence-grounded claims via an Inspector that links each claim to…

Kevin Qinghong Lin, Batu EI, Yuhong Shi, Pan Lu, et al.
Published
Jun 2026
Citations
0
Code
149 stars
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49

Independent research

Role-Agent: Bootstrapping LLM Agents via Dual-Role Evolution

Role-Agent is a framework that enables bootstrapped agent-environment co-evolution using a single LLM in dual roles. It consists of World-In-Agent (WIA), where the LLM predicts future states after actions, using the alignment between predicted and actual states as a process reward to encourage environment-aware reasoning, and Agent-In-World (AIW), where…

Xucong Wang, Ziyu Ma, Shidong Yang, Tongwen Huang, et al.
Published
Jun 2026
Citations
0
Code
79 stars
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50

Independent research

SearchSwarm: Towards Delegation Intelligence in Agentic LLMs for Long-Horizon Deep Research

SearchSwarm introduces a method for training delegation intelligence in LLM agents for long-horizon deep research tasks. The approach uses a main-distributes, sub-executes paradigm where a main agent decomposes tasks and dispatches subtasks to subagents via a call_sub_agent tool, receiving only condensed, citation-grounded reports. The harness design…

Pu Ning, Quan Chen, Kun Tao, Xinyu Tang, et al.
Published
Jun 2026
Citations
3
Code
85 stars
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