1 citations · 1 across the 5 of their papers we have counts for
5 papers
Revisiting Parameter-Based Knowledge Editing in Large Language Models: Theoretical Limits and Empirical Evidence
Wanying Ren, Xin Song, Futing Wang +2
Parameter-based knowledge editing updates the internal knowledge of large language models (LLMs) via localized weight modifications and has attracted significant attention. However…
MoRI: Learning Motivation-Grounded Reasoning for Scientific Ideation in Large Language Models
Chenyang Gu, Jiahao Cheng, Meicong Zhang +3
Scientific ideation aims to propose novel solutions within a given scientific context. Existing LLM-based agentic approaches emulate human research workflows, yet inadequately mode…
Benchmarking and Rethinking Knowledge Editing for Large Language Models
Guoxiu He, Xin Song, Futing Wang +1
Knowledge editing aims to update the embedded knowledge within Large Language Models (LLMs). However, existing approaches, whether through parameter modification or external memory…
Knowledge Updating? No More Model Editing! Just Selective Contextual Reasoning
Guoxiu He, Xin Song, Aixin Sun
As real-world knowledge evolves, the information embedded within large language models (LLMs) can become outdated, inadequate, or erroneous. Model editing has emerged as a prominen…
Not All Videos Become Outdated: Short-Video Recommendation by Learning to Deconfound Release Interval Bias
Lulu Dong, Guoxiu He, Aixin Sun
Short-video recommender systems often exhibit a biased preference to recently released videos. However, not all videos become outdated; certain classic videos can still attract use…