activity
20232026
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13 papers · 1 filter

cs.CL2026

ClawGym II: Exploring Black-Box RL on Agent Harness

Huatong Song, Fei Bai, Ming Yang +17

Agent harnesses have substantially improved performance on long-horizon tasks by coordinating agent interactions with the environment. However, reinforcement learning through compl…

cs.CL2026

ClawGym: A Scalable Framework for Building Effective Claw Agents

Fei Bai, Huatong Song, Shuang Sun +11

Claw-style environments support multi-step workflows over local files, tools, and persistent workspace states. However, scalable development around these environments remains const…

cs.CL2026

BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing?

Guoxin Chen, Fanzhe Meng, Jiale Zhao +12

Current code-agent benchmarks primarily evaluate localized issue resolution within a single target repository, leaving under-tested many software engineering tasks that require ext…

cs.CL2026

Computer Environments Elicit General Agentic Intelligence in LLMs

Daixuan Cheng, Shaohan Huang, Yuxian Gu +6

Agentic intelligence in large language models (LLMs) requires not only model intrinsic capabilities but also interactions with external environments. Equipping LLMs with computers…

cs.CL2025

How Efficient Are Diffusion Language Models? A Critical Examination of Efficiency Evaluation Practices

Han Peng, Peiyu Liu, Zican Dong +5

Diffusion language models (DLMs) have emerged as a promising alternative to the long-dominant autoregressive (AR) paradigm, offering a parallelable decoding process that could yiel…

cs.CL2025

From Trial-and-Error to Improvement: A Systematic Analysis of LLM Exploration Mechanisms in RLVR

Jia Deng, Jie Chen, Zhipeng Chen +7

Reinforcement learning with verifiable rewards (RLVR) has emerged as a powerful paradigm for enhancing the reasoning capabilities of large language models (LLMs). Unlike traditiona…