5 papers
ActReview: Rebuttal-Guided Training Data and Rubric Rewards for Actionable Peer Review Generation
Yiling Ma, Yilun Zhao, Sihong Wu +3
As LLMs are increasingly used for pre-submission self-review, there is growing demand for feedback that not only identifies weaknesses but also guides authors toward concrete revis…
Measuring the Gap Between Human and LLM Research Ideas
Ziyu Chen, Yilun Zhao, Arman Cohan
LLMs are increasingly used to brainstorm research ideas, but existing evaluations mostly judge individual ideas by novelty, feasibility, or expert preference. We instead ask: how f…
SciMDR: Advancing Scientific Multimodal Document Reasoning
Ziyu Chen, Yilun Zhao, Chengye Wang +3
Constructing scientific multimodal document reasoning datasets for foundation model training involves an inherent trade-off among scale, faithfulness, and realism. To address this…
Optimizing Decoding Paths in Masked Diffusion Models by Quantifying Uncertainty
Ziyu Chen, Xinbei Jiang, Peng Sun +1
Masked Diffusion Models (MDMs) offer flexible, non-autoregressive generation, but this freedom introduces a challenge: final output quality is highly sensitive to the decoding orde…
From Laws to Motivation: Guiding Exploration through Law-Based Reasoning and Rewards
Ziyu Chen, Zhiqing Xiao, Xinbei Jiang +1
Large Language Models (LLMs) and Reinforcement Learning (RL) are two powerful approaches for building autonomous agents. However, due to limited understanding of the game environme…