3 citations · 8 across the 18 of their papers we have counts for
Showing cs.CLShow all
3 papers · 1 filter
cs.CL2026
When Agents Slow Down: Understanding LLM Agents' Test-Time Strategies via Elo-per-token Analysis
Kaiyuan Liu, Qiuyang Mang, Bo Peng +6
Large language model (LLM) agents allocate test-time compute adaptively as they revise solutions, use tools, explore alternatives, and decide when to stop. This test-time strategy…
cs.CL2025
Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards
Youliang Yuan, Qiuyang Mang, Jingbang Chen +7
In this paper, we observe that current models are susceptible to reward hacking, leading to a substantial overestimation of a model's reasoning ability. This is evidenced by a high…
cs.CL2023★ 2 cited
Automated Testing and Improvement of Named Entity Recognition Systems
Boxi Yu, Yiyan Hu, Qiuyang Mang +2
Named entity recognition (NER) systems have seen rapid progress in recent years due to the development of deep neural networks. These systems are widely used in various natural lan…