NeurIPS 2024 Workshop CALM Submissions

Investigating the Ability of Large Language Models to Explain Causal Relationships in Time Series Data
Elizabeth Healey, Isaac S. Kohane
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- CaLM @NeurIPS 2024 Poster
- Readers: Everyone
Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference
Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N. Balasubramanian, Amit Sharma
- Published: 10 Oct 2024, Last Modified: 09 Dec 2024
- CaLM @NeurIPS 2024 Oral
- Readers: Everyone
Causal World Representation in the GPT Model
Raanan Yehezkel Rohekar, Yaniv Gurwicz, Sungduk Yu, Vasudev Lal
- Published: 10 Oct 2024, Last Modified: 31 Oct 2024
- CaLM @NeurIPS 2024 Poster
- Readers: Everyone
Teaching Transformers Causal Reasoning through Axiomatic Training
Aniket Vashishtha, Abhinav Kumar, Atharva Pandey, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian, Amit Sharma
- Published: 10 Oct 2024, Last Modified: 09 Dec 2024
- CaLM @NeurIPS 2024 Poster
- Readers: Everyone
Causal Interventions on Causal Paths: Mapping GPT-2's Reasoning From Syntax to Semantics
Isabelle Lee, Joshua Lum, Ziyi Liu, Dani Yogatama
- Published: 10 Oct 2024, Last Modified: 31 Oct 2024
- CaLM @NeurIPS 2024 Poster
- Readers: Everyone
On LLM Augmented AB Experimentation
Shiv Shankar, Ritwik Sinha, Madalina Fiterau
- Published: 10 Oct 2024, Last Modified: 31 Oct 2024
- CaLM @NeurIPS 2024 Poster
- Readers: Everyone
Are Police Biased? An NLP Approach
Jonathan H. Choi
- Published: 10 Oct 2024, Last Modified: 31 Oct 2024
- CaLM @NeurIPS 2024 Poster
- Readers: Everyone
Causal Reasoning in Large Language Models: A Knowledge Graph Approach
Yejin Kim, Eojin Kang, Juae Kim, H. Howie Huang
- Published: 10 Oct 2024, Last Modified: 29 Nov 2024
- CaLM @NeurIPS 2024 Poster
- Readers: Everyone
Leveraging LLM-Generated Structural Prior for Causal Inference with Concurrent Causes
Xingjian Zhang, Shixuan Liu, Yixin Wang, Qiaozhu Mei
- Published: 10 Oct 2024, Last Modified: 29 Nov 2024
- CaLM @NeurIPS 2024 Poster
- Readers: Everyone
On Incorporating Prior Knowledge Extracted from Pre-trained Language Models into Causal Discovery
Chanhui Lee, Juhyeon Kim, YongJun Jeong, Yoonseok Yeom, Juhyun Lyu, Jung-Hee Kim, Sangmin Lee, Sangjun Han, Hyeokjun Choe, Soyeon Park, Woohyung Lim, Kyunghoon Bae, Sungbin Lim, Sanghack Lee
- Published: 10 Oct 2024, Last Modified: 01 Dec 2024
- CaLM @NeurIPS 2024 Poster
- Readers: Everyone
CausalGraph2LLM: Evaluating LLMs for Causal Queries
Ivaxi Sheth, Bahare Fatemi, Mario Fritz
- Published: 10 Oct 2024, Last Modified: 04 Dec 2024
- CaLM @NeurIPS 2024 Poster
- Readers: Everyone
Investigating Causal Reasoning in Large Language Models
Atul Rawal, Adrienne Raglin, Qianlong Wang, Ziying Tang
- Published: 10 Oct 2024, Last Modified: 06 Dec 2024
- CaLM @NeurIPS 2024 Poster
- Readers: Everyone
Hypothesizing Missing Causal Variables with LLMs
Ivaxi Sheth, Sahar Abdelnabi, Mario Fritz
- Published: 10 Oct 2024, Last Modified: 04 Dec 2024
- CaLM @NeurIPS 2024 Poster
- Readers: Everyone
Counterfactual Token Generation in Large Language Models
Ivi Chatzi, Nina L. Corvelo Benz, Eleni Straitouri, Stratis Tsirtsis, Manuel Gomez Rodriguez
- Published: 10 Oct 2024, Last Modified: 04 Dec 2024
- CaLM @NeurIPS 2024 Poster
- Readers: Everyone
CodeSCM: Causal Analysis for Multi-Modal Code Generation
Mukur Gupta, Noopur Bhatt, Suman Jana
- Published: 10 Oct 2024, Last Modified: 06 Dec 2024
- CaLM @NeurIPS 2024 Poster
- Readers: Everyone
Evaluating Interventional Reasoning Capabilities of Large Language Models
Tejas Kasetty, Divyat Mahajan, Gintare Karolina Dziugaite, Alexandre Drouin, Dhanya Sridhar
- Published: 10 Oct 2024, Last Modified: 08 Dec 2024
- CaLM @NeurIPS 2024 Poster
- Readers: Everyone
Are UFOs Driving Innovation? The Illusion of Causality in Large Language Models
María Victoria Carro, Francisca Gauna Selasco, Denise Alejandra Mester, Mario Leiva
- Published: 10 Oct 2024, Last Modified: 06 Dec 2024
- CaLM @NeurIPS 2024 Poster
- Readers: Everyone
From Correlation to Causation: Understanding Climate Change through Causal Analysis and LLM Interpretations
Shan Shan
- Published: 10 Oct 2024, Last Modified: 09 Dec 2024
- CaLM @NeurIPS 2024 Poster
- Readers: Everyone
Counterfactual Causal Inference in Natural Language with Large Language Models
Gael Gendron, Joze M. Rozanec, Michael Witbrock, Gillian Dobbie
- Published: 10 Oct 2024, Last Modified: 07 Nov 2024
- CaLM @NeurIPS 2024 Poster
- Readers: Everyone
Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias
Yuen Chen, Vethavikashini Chithrra Raghuram, Justus Mattern, Rada Mihalcea, Zhijing Jin
- Published: 10 Oct 2024, Last Modified: 31 Oct 2024
- CaLM @NeurIPS 2024 Oral
- Readers: Everyone
LLM-initialized Differentiable Causal Discovery
Shiv Kampani, David Hidary, Constantijn van der Poel, Martin Ganahl, Brenda Miao
- Published: 10 Oct 2024, Last Modified: 06 Dec 2024
- CaLM @NeurIPS 2024 Poster
- Readers: Everyone
Reasoning with a Few Good Cross-Questions Greatly Enhances Causal Event Attribution in LLMs
Sanyam Saxena, Sunita Sarawagi
- Published: 10 Oct 2024, Last Modified: 31 Oct 2024
- CaLM @NeurIPS 2024 Poster
- Readers: Everyone
CausalBench: A Comprehensive Benchmark for Evaluating Causal Reasoning Capabilities of Large Language Models
ZEYU WANG
- Published: 10 Oct 2024, Last Modified: 01 Nov 2024
- CaLM @NeurIPS 2024 Poster
- Readers: Everyone
Using Relational and Causality Context for Tasks with Specialized Vocabularies that are Challenging for LLMs
Ryosuke Nakanishi, Yan-Ying Chen, Francine Chen, Matthew Klenk, Charlene C. Wu
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- CaLM @NeurIPS 2024 Oral
- Readers: Everyone
Competence-Based Analysis of Language Models
Adam Davies, Jize Jiang, ChengXiang Zhai
- Published: 10 Oct 2024, Last Modified: 09 Dec 2024
- CaLM @NeurIPS 2024 Poster
- Readers: Everyone