Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps

11 July 2023

Fuxiao Liu

Papers citing "Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps"

20 / 20 papers shown

Title
Validity Arguments For Constructed Response Scoring Using Generative Artificial Intelligence Applications Jodi M. Casabianca Daniel F. McCaffrey Matthew S. Johnson Naim Alper Vladimir Zubenko 32 0 0 04 Jan 2025
Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation H. Yang Qianghua Zhao Lei Li AI4CE LRM 66 1 0 05 Dec 2024
PromptExp: Multi-granularity Prompt Explanation of Large Language Models Ximing Dong Shaowei Wang Dayi Lin Gopi Krishnan Rajbahadur Boquan Zhou Shichao Liu Ahmed E. Hassan AAML LRM 23 1 0 16 Oct 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 62 28 0 30 Aug 2024
Multimodal Contrastive In-Context Learning Yosuke Miyanishi Minh Le Nguyen 32 2 0 23 Aug 2024
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey Atsuyuki Miyai Jingkang Yang Jingyang Zhang Yifei Ming Sisir Dhakal ... Yixuan Li Hai Li Ziwei Liu Toshihiko Yamasaki Kiyoharu Aizawa 36 9 0 31 Jul 2024
XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models Erik Cambria Lorenzo Malandri Fabio Mercorio Navid Nobani Andrea Seveso 48 11 0 21 Jul 2024
Evaluating the Reliability of Self-Explanations in Large Language Models Korbinian Randl John Pavlopoulos Aron Henriksson Tony Lindgren LRM 40 0 0 19 Jul 2024
In-Context Learning with Long-Context Models: An In-Depth Exploration Amanda Bertsch Maor Ivgi Uri Alon Jonathan Berant Matthew R. Gormley Matthew R. Gormley Graham Neubig ReLM AIMat 81 65 0 30 Apr 2024
Towards detecting unanticipated bias in Large Language Models Anna Kruspe 28 3 0 03 Apr 2024
Large Language Models and Causal Inference in Collaboration: A Survey Xiaoyu Liu Paiheng Xu Junda Wu Jiaxin Yuan Yifan Yang ... Haoliang Wang Tong Yu Julian McAuley Wei Ai Furong Huang ELM LRM 72 5 0 14 Mar 2024
Neuron-Level Knowledge Attribution in Large Language Models Zeping Yu Sophia Ananiadou FAtt KELM 19 6 0 19 Dec 2023
HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models Tianrui Guan Fuxiao Liu Xiyang Wu Ruiqi Xian Zongxia Li ... Lichang Chen Furong Huang Yaser Yacoob Dinesh Manocha Tianyi Zhou VLM MLLM 23 155 0 23 Oct 2023
Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries Yiqiao Jin Mohit Chandra Gaurav Verma Yibo Hu Munmun De Choudhury Srijan Kumar LM&MA ELM 87 65 0 19 Oct 2023
From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning Xuansheng Wu Wenlin Yao Jianshu Chen Xiaoman Pan Xiaoyang Wang Ninghao Liu Dong Yu LRM 20 26 0 30 Sep 2023
Explainability for Large Language Models: A Survey Haiyan Zhao Hanjie Chen Fan Yang Ninghao Liu Huiqi Deng Hengyi Cai Shuaiqiang Wang Dawei Yin Mengnan Du LRM 19 404 0 02 Sep 2023
Anticipating Driving Behavior through Deep Learning-Based Policy Prediction Alexander Liu 8 0 0 20 Jul 2023
Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning Fuxiao Liu Kevin Qinghong Lin Linjie Li Jianfeng Wang Yaser Yacoob Lijuan Wang VLM MLLM 14 239 0 26 Jun 2023
DocumentCLIP: Linking Figures and Main Body Text in Reflowed Documents Fuxiao Liu Hao Tan Chris Tensmeyer CLIP VLM 31 18 0 09 Jun 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 303 11,881 0 04 Mar 2022