activity
20242026
most citedLearn the Ropes, Then Trust the Wins: Self-imitation with Progressive Exploration for Agentic Reinforcement Learning

1 citations · 1 across the 8 of their papers we have counts for

collaborators
Showing cs.CLShow all

5 papers · 1 filter

cs.CL2026

Tencent WorkBuddy Bench: A Multi-Domain Coding-Agent Benchmark with Contamination-Resistant Task Construction

Tencent WorkBuddy Bench Team, Siqi Cai, Shaopeng Chen +35

We introduce Tencent WorkBuddy Bench, a multi-domain evaluation suite for coding agents; this report documents its construction methodology, scoring protocol, and a cross-model lea…

cs.CL2026

SmartSnap: Proactive Evidence Seeking for Self-Verifying Agents

Shaofei Cai, Yulei Qin, Haojia Lin +10

Agentic reinforcement learning (RL) holds great promise for the development of autonomous agents under complex GUI tasks, but its scalability remains severely hampered by the verif…

cs.CL2025

LTD-Bench: Evaluating Large Language Models by Letting Them Draw

Liuhao Lin, Ke Li, Zihan Xu +5

Current evaluation paradigms for large language models (LLMs) represent a critical blind spot in AI research--relying on opaque numerical metrics that conceal fundamental limitatio…

cs.CL2025

Training-Free Group Relative Policy Optimization

Yuzheng Cai, Siqi Cai, Yuchen Shi +10

Recent advances in Large Language Model (LLM) agents have demonstrated their promising general capabilities. However, their performance in specialized real-world domains often degr…

cs.CL2025

LUCY: Linguistic Understanding and Control Yielding Early Stage of Her

Heting Gao, Hang Shao, Xiong Wang +12

The film Her features Samantha, a sophisticated AI audio agent who is capable of understanding both linguistic and paralinguistic information in human speech and delivering real-ti…