DETAIL: Task DEmonsTration Attribution for Interpretable In-context
Learning

DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning

22 May 2024

Xinyi Xu

Papers citing "DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning"

19 / 19 papers shown

Title
BrainCodec: Neural fMRI codec for the decoding of cognitive brain states Yuto Nishimura Masataka Sawayama Ayumu Yamashita Hideki Nakayama Kaoru Amano 76 3 0 06 Oct 2024
IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models Shaokun Zhang Xiaobo Xia Zhaoqing Wang Ling-Hao Chen Jiale Liu Qingyun Wu Tongliang Liu 69 21 0 16 Oct 2023
Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions S. Bhattamishra Arkil Patel Phil Blunsom Varun Kanade 78 53 0 04 Oct 2023
DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models Yongchan Kwon Eric Wu K. Wu James Zou DiffM TDI 77 67 0 02 Oct 2023
Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers Xiaoqiang Lin Zhaoxuan Wu Zhongxiang Dai Wenyang Hu Yao Shu See-Kiong Ng Patrick Jaillet Bryan Kian Hsiang Low 57 11 0 02 Oct 2023
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena Lianmin Zheng Wei-Lin Chiang Ying Sheng Siyuan Zhuang Zhanghao Wu ... Dacheng Li Eric Xing Haotong Zhang Joseph E. Gonzalez Ion Stoica ALM OSLM ELM 349 4,312 0 09 Jun 2023
In-Context Learning through the Bayesian Prism Madhuri Panwar Kabir Ahuja Navin Goyal BDL 72 47 0 08 Jun 2023
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection Yu Bai Fan Chen Haiquan Wang Caiming Xiong Song Mei 50 193 0 07 Jun 2023
Transformers learn in-context by gradient descent J. Oswald Eyvind Niklasson E. Randazzo João Sacramento A. Mordvintsev A. Zhmoginov Max Vladymyrov MLT 104 489 0 15 Dec 2022
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes Shivam Garg Dimitris Tsipras Percy Liang Gregory Valiant 136 505 0 01 Aug 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 814 9,351 0 28 Jan 2022
An Explanation of In-context Learning as Implicit Bayesian Inference Sang Michael Xie Aditi Raghunathan Percy Liang Tengyu Ma ReLM BDL VPVLM LRM 193 749 0 03 Nov 2021
Datasets: A Community Library for Natural Language Processing Quentin Lhoest Albert Villanova del Moral Yacine Jernite A. Thakur Patrick von Platen ... Thibault Goehringer Victor Mustar François Lagunas Alexander M. Rush Thomas Wolf 216 610 0 07 Sep 2021
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 433 10,328 0 17 Jun 2021
Influence Functions in Deep Learning Are Fragile S. Basu Phillip E. Pope Soheil Feizi TDI 125 233 0 25 Jun 2020
BERTScore: Evaluating Text Generation with BERT Tianyi Zhang Varsha Kishore Felix Wu Kilian Q. Weinberger Yoav Artzi 324 5,801 0 21 Apr 2019
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 203 2,885 0 14 Mar 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 188 5,986 0 04 Mar 2017
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 552 27,300 0 01 Sep 2014

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