5 citations · 17 across the 11 of their papers we have counts for
6 papers · 1 filter
Beyond Better Ideas: How Human-AI Collaboration Shapes Scientific Ideas and Human Perceptions
Qian Chen, Saatvik Pradhan, Janice Ahn +7
As AI increasingly becomes a collaborator in scientific research, its impact may extend beyond improving ideas to reshaping how they are evaluated, attributed, and perceived by hum…
PAPER2LLM++: Continual Self-Evolution of LLMs from Research Papers
Hongji Pu, Yilun Zhao, Wenpeng Yin
Research on LLMs continually uncovers model limitations, their causes, and potential solutions. Yet these human discoveries remain largely disconnected from model evolution: an LLM…
PatternFormer: Learning Multiple Solution Patterns in Reaction--Diffusion Systems
Zhipeng Chang, Wenpeng Yin, Wenrui Hao
Many nonlinear models across physics, chemistry, and biology exhibit multiple solutions for the same parameters, and capturing this entire solution set is essential for understandi…
CleanCodec: Efficient and Robust Speech Tokenization via Perceptually Guided Encoding
Eugene Kwek, Feng Liu, Rui Zhang +1
Neural audio codecs are a key component of speech processing pipelines, compressing audio into discrete tokens for downstream modeling. However, existing codecs struggle to balance…
Bridging the Know-Act Gap via Task-Level Autoregressive Reasoning
Jihyun Janice Ahn, Ryo Kamoi, Berk Atil +34
LLMs often generate seemingly valid answers to flawed or ill-posed inputs. This is not due to missing knowledge: under discriminative prompting, the same models can mostly identify…
Functionality-Oriented LLM Merging on the Fisher--Rao Manifold
Jiayu Wang, Zuojun Ye, Wenpeng Yin
Weight-space merging aims to combine multiple fine-tuned LLMs into a single model without retraining, yet most existing approaches remain fundamentally parameter-space heuristics.…