Showing 2026Show all
3 papers · 1 filter
cs.AI2026
Scaling with Confidence: Calibrating Confidence of LLMs for Adaptive Test Time Scaling
Xuqing Yang, Yi Yuan, Shanzhe Lei +1
Training large language models (LLMs) with reinforcement learning (RL) has significantly advanced their performance on reasoning and question-answering tasks. However, prevailing R…
cs.CL2026
From Coarse to Fine: Benchmarking and Reward Modeling for Writing-Centric Generation Tasks
Qingyu Ren, Tianjun Pan, Xingzhou Chen +1
Large language models have achieved remarkable progress in text generation but still struggle with generative writing tasks. In terms of evaluation, existing benchmarks evaluate wr…
cs.AI2026
Towards Trustworthy Report Generation: A Deep Research Agent with Progressive Confidence Estimation and Calibration
Yi Yuan, Xuhong Wang, Shanzhe Lei
As agent-based systems continue to evolve, deep research agents are capable of automatically generating research-style reports across diverse domains. While these agents promise to…