Resources

Group highlights

A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models

Alessandro Stolfo, Zhijing Jin, Kumar Shridhar, Bernhard Schölkopf and Mrinmaya Sachan

arxiv:2210.12023 (also at MATHAI Workshop at NeurIPS 22)

Investigating the Role of Centering Theory in the Context of Neural Coreference Resolution Systems

Yuchen Eleanor Jiang, Ryan Cotterell and Mrinmaya Sachan

arxiv:2210.14678

Opportunities and Challenges in Neural Dialog Tutoring

Jakub Macina, Nico Daheim, Lingzhi Wang, Tanmay Sinha, Manu Kapur, Iryna Gurevych and Mrinmaya Sachan

EACL 2023 Code

LongtoNotes: OntoNotes with Longer Coreference Chains

Kumar Shridhar, Nicholas Monath, Raghuveer Thirukovalluru, Alessandro Stolfo, Manzil Zaheer, Andrew McCallum and Mrinmaya Sachan

EACL 2023 (Findings)

Automatic Generation of Socratic Subquestions for Teaching Math Word Problems

Kumar Shridhar, Jakub Macina, Mennatallah El-Assady, Tanmay Sinha, Manu Kapur and Mrinmaya Sachan

EMNLP 2022 (also at MATHAI Workshop at NeurIPS 22) Code

Beyond prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations

Yu Fei, Zhao Meng, Ping Nie, Roger Wattenhofer and Mrinmaya Sachan

EMNLP 2022

Differentially Private Language Models for Secure Data Sharing

Justus Mattern, Zhijing Jin, Benjamin Weggenmann, Bernhard Schölkopf and Mrinmaya Sachan

EMNLP 2022

Autoregressive Structured Prediction with Language Models

Tianyu Liu, Yuchen Eleanor Jiang, Nicholas Monath, Ryan Cotterell and Mrinmaya Sachan

EMNLP 2022 (Findings, Short paper)

Adapters for Enhanced Modeling of Multilingual Knowledge and Text

Yifan Hou, Wenxiang Jiao, Meizhen Liu, Carl Allen, Zhaopeng Tu and Mrinmaya Sachan

EMNLP 2022 (Findings) / Best paper at the Multilingual Representation Learning (MRL) Workshop

Logical Fallacy Detection

Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya, Xiaoyu Shen, Yiwen Ding, Zhiheng Lyu, Mrinmaya Sachan, Rada Mihalcea and Bernhard Schölkopf

EMNLP 2022 (Findings)

What has been Enhanced in my Knowledge-Enhanced Language Model?

Yifan Hou, Guoji Fu and Mrinmaya Sachan

EMNLP 2022 (Findings) Code

Rule-Based but Flexible? Evaluating and Improving Language Models as Accounts of Human Moral Judgment

Zhijing Jin, Sydney Levine, Fernando Gonzalez Adauto, Ojasv Kamal, Maarten Sap, Mrinmaya Sachan, Rada Mihalcea, Joshua B. Tenenbaum and Bernhard Schölkopf

NeurIPS 2022 (Oral) / CogSci 2022 (Disciplinary Diversity and Integration Award)

Learning the Transformer Kernel

Sankalan Pal Chowdhury, Adamos Solomou, Avinava Dubey and Mrinmaya Sachan

TMLR 2022

Probing via Prompting

Jiaoda Li, Ryan Cotterell and Mrinmaya Sachan

NAACL 2022

BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation

Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Jian Yang, Haoyang Huang, Rico Sennrich, Mrinmaya Sachan, Ryan Cotterell and Ming Zhou

NAACL 2022

A Structured Span Selector

Tianyu Liu, Yuchen Eleanor Jiang, Ryan D Cotterell and Mrinmaya Sachan

NAACL 2022

Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance

Jingwei Ni, Zhijing Jin, Markus Freitag, Mrinmaya Sachan and Bernhard Schölkopf

NAACL 2022

Self-Supervised Contrastive Learning with Adversarial Perturbations for Robust Pretrained Language Models

Zhao Meng, Yihan Dong, Mrinmaya Sachan and Roger Wattenhofer

NAACL 2022 (Findings)

Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang

Daphna Keidar, Andreas Opedal, Zhijing Jin and Mrinmaya Sachan

ACL 2022

Calibration of Machine Reading Systems at Scale

Shehzaad Dhuliawala, Leonard Adolphs, Rajarshi Das and Mrinmaya Sachan

ACL 2022 (Findings)

Case-based Reasoning for Better Generalization in Text-Adventure Games

Mattia Atzeni, Shehzaad Dhuliawala, Keerthiram Murugesan and Mrinmaya Sachan

ICLR (2022)

Deep Clustering of Text Representations for Supervision-free Probing of Syntax

Vikram Gupta, Haoyue Shi, Kevin Gimpel and Mrinmaya Sachan

AAAI (2022)

Causal Direction in Data Matters: Implications of Causal and Anticausal Learning in NLP

Zhijing Jin, Julius von Kugelgen, Jingwei Ni, Tejas Vaidhya, Ayush Kaushal, Mrinmaya Sachan and Bernhard Schoelkopf

EMNLP 2021

Let Your Characters Tell Their Story: A Dataset for Character-Centric Narrative Understanding

Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan and Snigdha Chaturvedi

EMNLP 2021 (Findings)

Differentiable Subset Pruning of Transformer Heads

Jiaoda Li, Ryan Cotterell and Mrinmaya Sachan

TACL 2021 Code

Bird's Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach

Yifan Hou and Mrinmaya Sachan

ACL 2021 Code

Scaling Within Document Coreference for Long Texts

Raghuveer Thirukovalluru, Nicholas Monath, Kumar Shridhar, Manzil Zaheer, Mrinmaya Sachan and Andrew McCallum

ACL 2021 (Findings)

How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact

Zhijing Jin, Geeticka Chauhan, Brian Tse, Mrinmaya Sachan and Rada Mihalcea

ACL 2021 (Findings) MIT News Article

Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations

Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi,Kartik Talamadupula, Mrinmaya Sachan and Murray Campbell

ACL 2021 (Short paper)

Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines

Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel, Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan and Murray Campbell

AAAI 2021