2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.CL2026
Identifying Good and Bad Neurons for Task-Level Controllable LLMs
Wenjie Li, Guansong Pang, Hezhe Qiao +2
Large Language Models have demonstrated remarkable capabilities on multiple-choice question answering benchmarks, but the complex mechanisms underlying their large-scale neurons re…
cs.CV2024
Delta-Influence: Unlearning Poisons via Influence Functions
Wenjie Li, Jiawei Li, Pengcheng Zeng +3
Addressing data integrity challenges, such as unlearning the effects of data poisoning after model training, is necessary for the reliable deployment of machine learning models. St…
cs.CL2024★ 2 cited
GameBench: Evaluating Strategic Reasoning Abilities of LLM Agents
Anthony Costarelli, Mat Allen, Roman Hauksson +6
Large language models have demonstrated remarkable few-shot performance on many natural language understanding tasks. Despite several demonstrations of using large language models…