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 Anton van den Hengel 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 45 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 77 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 17 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