DISCO: Distilling Counterfactuals with Large Language Models

DISCO: Distilling Counterfactuals with Large Language Models

20 December 2022

Antoine Bosselut

Ashish Sabharwal

Kyle Richardson

Papers citing "DISCO: Distilling Counterfactuals with Large Language Models"

18 / 18 papers shown

Title
Unveiling and Causalizing CoT: A Causal Pespective Jiarun Fu LiZhong Ding Hao Li P. Li Qiuning Wei Xu Chen LRM 83 0 0 25 Feb 2025
Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE Lokesh Nagalapatti Pranava Singhal Avishek Ghosh Sunita Sarawagi CML 81 0 0 07 Feb 2025
Causality for Large Language Models Anpeng Wu Kun Kuang Minqin Zhu Yingrong Wang Yujia Zheng Kairong Han Yangqiu Song Guangyi Chen Fei Wu Kun Zhang LRM 46 7 0 20 Oct 2024
Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives D. Hagos Rick Battle Danda B. Rawat LM&MA OffRL 31 22 0 20 Jul 2024
Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-Level Anomaly Detection Chunjing Xiao Shikang Pang Wenxin Tai Yanlong Huang Goce Trajcevski Fan Zhou 48 3 0 18 Jul 2024
A Survey on Efficient Inference for Large Language Models Zixuan Zhou Xuefei Ning Ke Hong Tianyu Fu Jiaming Xu ... Shengen Yan Guohao Dai Xiao-Ping Zhang Yuhan Dong Yu-Xiang Wang 46 83 0 22 Apr 2024
Utilizing Adversarial Examples for Bias Mitigation and Accuracy Enhancement Pushkar Shukla Dhruv Srikanth Lee Cohen Matthew A. Turk AAML 40 0 0 18 Apr 2024
Distilling Reasoning Ability from Large Language Models with Adaptive Thinking Xiao Chen Sihang Zhou K. Liang Xinwang Liu ReLM LRM 37 2 0 14 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 80 5 0 14 Mar 2024
Model Compression and Efficient Inference for Large Language Models: A Survey Wenxiao Wang Wei Chen Yicong Luo Yongliu Long Zhengkai Lin Liye Zhang Binbin Lin Deng Cai Xiaofei He MQ 41 48 0 15 Feb 2024
TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models Aditya Chinchure Pushkar Shukla Gaurav Bhatt Kiri Salij K. Hosanagar Leonid Sigal Matthew A. Turk 21 22 0 03 Dec 2023
Unlock the Potential of Counterfactually-Augmented Data in Out-Of-Distribution Generalization Caoyun Fan Wenqing Chen Jidong Tian Yitian Li Hao He Yaohui Jin CML 20 4 0 10 Oct 2023
A Survey on Model Compression for Large Language Models Xunyu Zhu Jian Li Yong Liu Can Ma Weiping Wang 36 193 0 15 Aug 2023
Tailor: Generating and Perturbing Text with Semantic Controls Alexis Ross Tongshuang Wu Hao Peng Matthew E. Peters Matt Gardner 136 77 0 15 Jul 2021
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference Tianyu Liu Xin Zheng Baobao Chang Zhifang Sui 43 23 0 05 Mar 2020
Geometric Dataset Distances via Optimal Transport David Alvarez-Melis Nicolò Fusi OT 75 194 0 07 Feb 2020
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 190 576 0 02 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,959 0 20 Apr 2018