Summary of Likelihood-based Mitigation Of Evaluation Bias in Large Language Models, by Masanari Ohi et al.
Likelihood-based Mitigation of Evaluation Bias in Large Language Modelsby Masanari Ohi, Masahiro Kaneko, Ryuto Koike,…
Likelihood-based Mitigation of Evaluation Bias in Large Language Modelsby Masanari Ohi, Masahiro Kaneko, Ryuto Koike,…
Interactive-KBQA: Multi-Turn Interactions for Knowledge Base Question Answering with Large Language Modelsby Guanming Xiong, Junwei…
Making Pre-trained Language Models Better Continual Few-Shot Relation Extractorsby Shengkun Ma, Jiale Han, Yi Liang,…
RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoningby Congyun Jin, Ming…
On Large Visual Language Models for Medical Imaging Analysis: An Empirical Studyby Minh-Hao Van, Prateek…
Where It Really Matters: Few-Shot Environmental Conservation Media Monitoring for Low-Resource Languagesby Sameer Jain, Sedrick…
Do Large Language Models Understand Logic or Just Mimick Context?by Junbing Yan, Chengyu Wang, Jun…
GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Networkby Shuzhou Yuan,…
Language Models Don’t Learn the Physical Manifestation of Languageby Bruce W. Lee, JaeHyuk LimFirst submitted…
MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understandingby Hai-Tao Yu, Mofei SongFirst submitted to…