Probabilistic model for discovering topic based communities in social networks. - Mrinmaya Sachan; Danish Contractor; Tanveer A. Faruquie; L. Venkata Subramaniam (CIKM, 2011)

Using Text Reviews for Product Entity Completion. - Mrinmaya Sachan; Tanveer A. Faruquie; L. Venkata Subramaniam; Mukesh K. Mohania (IJCNLP, 2011)

Using content and interactions for discovering communities in social networks. - Mrinmaya Sachan; Danish Contractor; Tanveer A. Faruquie; L. Venkata Subramaniam (WWW, 2012)

A Structured Distributional Semantic Model for Event Co-reference. - Kartik Goyal; Sujay Kumar Jauhar; Huiying Li; Mrinmaya Sachan; Shashank Srivastava; Eduard H. Hovy (ACL (2), 2013)

A Structured Distributional Semantic Model : Integrating Structure with Semantics. - Kartik Goyal; Sujay Kumar Jauhar; Huiying Li; Mrinmaya Sachan; Shashank Srivastava; Eduard H. Hovy (CVSM@ACL, 2013)

Collective matrix factorization for co-clustering. - Mrinmaya Sachan; Shashank Srivastava (WWW (Companion Volume), 2013)

Solving electrical networks to incorporate supervision in random walks. - Mrinmaya Sachan; Dirk Hovy; Eduard H. Hovy (WWW (Companion Volume), 2013)

Spatial compactness meets topical consistency: jointly modeling links and content for community detection. - Mrinmaya Sachan; Avinava Dubey; Shashank Srivastava; Eric P. Xing; Eduard H. Hovy (WSDM, 2014)

Learning Answer-Entailing Structures for Machine Comprehension. - Mrinmaya Sachan; Kumar Avinava Dubey; Eric P. Xing; Matthew Richardson (ACL (1), 2015)

An Active Learning Approach to Coreference Resolution. - Mrinmaya Sachan; Eduard H. Hovy; Eric P. Xing (IJCAI, 2015)

Science Question Answering using Instructional Materials. - Mrinmaya Sachan; Kumar Avinava Dubey; Eric P. Xing (ACL (2), 2016)

Easy Questions First? A Case Study on Curriculum Learning for Question Answering. - Mrinmaya Sachan; Eric P. Xing (ACL (1), 2016)

Machine Comprehension using Rich Semantic Representations. - Mrinmaya Sachan; Eric P. Xing (ACL (2), 2016)

Learning Concept Taxonomies from Multi-modal Data. - Hao Zhang 025; Zhiting Hu; Yuntian Deng; Mrinmaya Sachan; Zhicheng Yan 001; Eric P. Xing (ACL (1), 2016)

Grounding Topic Models with Knowledge Bases. - Zhiting Hu; Gang Luo; Mrinmaya Sachan; Eric P. Xing; Zaiqing Nie (IJCAI, 2016)

From Textbooks to Knowledge: A Case Study in Harvesting Axiomatic Knowledge from Textbooks to Solve Geometry Problems. - Mrinmaya Sachan; Avinava Dubey; Eric P. Xing (EMNLP, 2017)

Learning to Solve Geometry Problems from Natural Language Demonstrations in Textbooks. - Mrinmaya Sachan; Eric P. Xing (*SEM, 2017)

Contextual Parameter Generation for Universal Neural Machine Translation. - Emmanouil Antonios Platanios; Mrinmaya Sachan; Graham Neubig; Tom M. Mitchell (EMNLP, 2018)

Parsing to Programs: A Framework for Situated QA. - Mrinmaya Sachan; Eric P. Xing (KDD, 2018)

Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition. - Devendra Singh Sachan; Pengtao Xie; Mrinmaya Sachan; Eric P. Xing (MLHC, 2018)

Self-Training for Jointly Learning to Ask and Answer Questions. - Mrinmaya Sachan; Eric P. Xing (NAACL-HLT, 2018)

Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems. - Mrinmaya Sachan; Kumar Avinava Dubey; Tom M. Mitchell; Dan Roth 001; Eric P. Xing (NeurIPS, 2018)

Discourse in Multimedia: A Case Study in Information Extraction. - Mrinmaya Sachan; Kumar Avinava Dubey; Eduard H. Hovy; Tom M. Mitchell; Dan Roth 001; Eric P. Xing (CoRR, 2018)

Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks. - Mrinmaya Sachan; Avinava Dubey; Eduard H. Hovy; Tom M. Mitchell; Dan Roth 001; Eric P. Xing (Comput. Linguistics, 2019)

Knowledge Graph Embedding Compression. - Mrinmaya Sachan (AKBC, 2020)

Enhancing Text-based Reinforcement Learning Agents with Commonsense Knowledge. - Keerthiram Murugesan; Mattia Atzeni; Pushkar Shukla; Mrinmaya Sachan; Pavan Kapanipathi; Kartik Talamadupula (CoRR, 2020)

Stronger Transformers for Neural Multi-Hop Question Generation. - Devendra Singh Sachan; Lingfei Wu 001; Mrinmaya Sachan; William L. Hamilton (CoRR, 2020)

Clustering Contextualized Representations of Text for Unsupervised Syntax Induction. - Vikram Gupta; Haoyue Shi 001; Kevin Gimpel; Mrinmaya Sachan (CoRR, 2020)

Towards Literate Artificial Intelligence. - Mrinmaya Sachan (2020)

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; Murray Campbell (AAAI, 2021)

Bird's Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach. - Yifan Hou; Mrinmaya Sachan (ACL/IJCNLP (1), 2021)

How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact. - Zhijing Jin 001; Geeticka Chauhan; Brian Tse; Mrinmaya Sachan; Rada Mihalcea (ACL/IJCNLP (Findings), 2021)

Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations. - Keerthiram Murugesan; Mattia Atzeni; Pavan Kapanipathi; Kartik Talamadupula; Mrinmaya Sachan; Murray Campbell (ACL/IJCNLP (2), 2021)

Scaling Within Document Coreference to Long Texts. - Raghuveer Thirukovalluru; Nicholas Monath; Kumar Shridhar; Manzil Zaheer; Mrinmaya Sachan; Andrew McCallum (ACL/IJCNLP (Findings), 2021)

"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding. - Faeze Brahman; Meng Huang; Oyvind Tafjord; Chao Zhao 002; Mrinmaya Sachan; Snigdha Chaturvedi (EMNLP (Findings), 2021)

Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP. - Zhijing Jin 001; Julius von Kügelgen; Jingwei Ni; Tejas Vaidhya; Ayush Kaushal; Mrinmaya Sachan; Bernhard Schölkopf (EMNLP (1), 2021)

Self-Supervised Contrastive Learning with Adversarial Perturbations for Robust Pretrained Language Models. - Zhao Meng; Yihan Dong; Mrinmaya Sachan; Roger Wattenhofer (CoRR, 2021)

Case-based Reasoning for Better Generalization in Text-Adventure Games. - Mattia Atzeni; Shehzaad Dhuliawala; Keerthiram Murugesan; Mrinmaya Sachan (CoRR, 2021)

Differentiable Subset Pruning of Transformer Heads. - Jiaoda Li; Ryan Cotterell; Mrinmaya Sachan (Trans. Assoc. Comput. Linguistics, 2021)

Deep Clustering of Text Representations for Supervision-Free Probing of Syntax. - Vikram Gupta; Haoyue Shi 001; Kevin Gimpel; Mrinmaya Sachan (AAAI, 2022)

Calibration of Machine Reading Systems at Scale. - Shehzaad Dhuliawala; Leonard Adolphs; Rajarshi Das; Mrinmaya Sachan (ACL (Findings), 2022)

Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang. - Daphna Keidar; Andreas Opedal; Zhijing Jin 001; Mrinmaya Sachan (ACL (1), 2022)

Beyond prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations. - Yu Fei; Zhao Meng; Ping Nie; Roger Wattenhofer; Mrinmaya Sachan (EMNLP, 2022)

What Has Been Enhanced in my Knowledge-Enhanced Language Model? - Yifan Hou; Guoji Fu; Mrinmaya Sachan (EMNLP (Findings), 2022)

Adapters for Enhanced Modeling of Multilingual Knowledge and Text. - Yifan Hou; Wenxiang Jiao; Meizhen Liu 001; Carl Allen; Zhaopeng Tu; Mrinmaya Sachan (EMNLP (Findings), 2022)

Logical Fallacy Detection. - Zhijing Jin 001; Abhinav Lalwani; Tejas Vaidhya; Xiaoyu Shen; Yiwen Ding; Zhiheng Lyu; Mrinmaya Sachan; Rada Mihalcea; Bernhard Schölkopf (EMNLP (Findings), 2022)

Autoregressive Structured Prediction with Language Models. - Tianyu Liu 004; Yuchen Eleanor Jiang; Nicholas Monath; Ryan Cotterell; Mrinmaya Sachan (EMNLP (Findings), 2022)

Differentially Private Language Models for Secure Data Sharing. - Justus Mattern; Zhijing Jin 001; Benjamin Weggenmann; Bernhard Schölkopf; Mrinmaya Sachan (EMNLP, 2022)

Automatic Generation of Socratic Subquestions for Teaching Math Word Problems. - Kumar Shridhar; Jakub Macina; Mennatallah El-Assady; Tanmay Sinha; Manu Kapur; Mrinmaya Sachan (EMNLP, 2022)

Case-based reasoning for better generalization in textual reinforcement learning. - Mattia Atzeni; Shehzaad Zuzar Dhuliawala; Keerthiram Murugesan; Mrinmaya Sachan (ICLR, 2022)

BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation. - Yuchen Jiang; Tianyu Liu 004; Shuming Ma; Dongdong Zhang 001; Jian Yang 030; Haoyang Huang; Rico Sennrich; Ryan Cotterell; Mrinmaya Sachan; Ming Zhou 001 (NAACL-HLT, 2022)

Probing via Prompting. - Jiaoda Li; Ryan Cotterell; Mrinmaya Sachan (NAACL-HLT, 2022)

A Structured Span Selector. - Tianyu Liu 004; Yuchen Eleanor Jiang; Ryan Cotterell; Mrinmaya Sachan (NAACL-HLT, 2022)

Self-Supervised Contrastive Learning with Adversarial Perturbations for Defending Word Substitution-based Attacks. - Zhao Meng; Yihan Dong; Mrinmaya Sachan; Roger Wattenhofer (NAACL-HLT (Findings), 2022)

Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance. - Jingwei Ni; Zhijing Jin 001; Markus Freitag; Mrinmaya Sachan; Bernhard Schölkopf (NAACL-HLT, 2022)

When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment. - Zhijing Jin 001; Sydney Levine; Fernando Gonzalez Adauto; Ojasv Kamal; Maarten Sap; Mrinmaya Sachan; Rada Mihalcea; Josh Tenenbaum 001; Bernhard Schölkopf (NeurIPS, 2022)

A Simple Unsupervised Approach for Coreference Resolution using Rule-based Weak Supervision. - Alessandro Stolfo; Chris Tanner; Vikram Gupta; Mrinmaya Sachan (*SEM@NAACL-HLT, 2022)

Understanding Knowledge Integration in Language Models with Graph Convolutions. - Yifan Hou; Guoji Fu; Mrinmaya Sachan (CoRR, 2022)

When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment. - Zhijing Jin 001; Sydney Levine; Fernando Gonzalez; Ojasv Kamal; Maarten Sap; Mrinmaya Sachan; Rada Mihalcea; Josh Tenenbaum 001; Bernhard Schölkopf (CoRR, 2022)

A Bilingual Parallel Corpus with Discourse Annotations. - Yuchen Eleanor Jiang; Tianyu Liu 004; Shuming Ma; Dongdong Zhang 001; Mrinmaya Sachan; Ryan Cotterell (CoRR, 2022)

Investigating the Role of Centering Theory in the Context of Neural Coreference Resolution Systems. - Yuchen Eleanor Jiang; Ryan Cotterell; Mrinmaya Sachan (CoRR, 2022)

Autoregressive Structured Prediction with Language Models. - Tianyu Liu 004; Yuchen Jiang; Nicholas Monath; Ryan Cotterell; Mrinmaya Sachan (CoRR, 2022)

Distilling Multi-Step Reasoning Capabilities of Large Language Models into Smaller Models via Semantic Decompositions. - Kumar Shridhar; Alessandro Stolfo; Mrinmaya Sachan (CoRR, 2022)

Understanding Stereotypes in Language Models: Towards Robust Measurement and Zero-Shot Debiasing. - Justus Mattern; Zhijing Jin 001; Mrinmaya Sachan; Rada Mihalcea; Bernhard Schölkopf (CoRR, 2022)

Learning the Transformer Kernel. - Sankalan Pal Chowdhury; Adamos Solomou; Kumar Avinava Dubey; Mrinmaya Sachan (Trans. Mach. Learn. Res., 2022)

Adaptive and Personalized Exercise Generation for Online Language Learning. - Peng Cui 006; Mrinmaya Sachan (ACL (1), 2023)

Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels. - Yuchen Eleanor Jiang; Tianyu Liu 004; Shuming Ma; Dongdong Zhang 001; Mrinmaya Sachan; Ryan Cotterell (ACL (1), 2023)

XDailyDialog: A Multilingual Parallel Dialogue Corpus. - Zeming Liu; Ping Nie; Jie Cai; Haifeng Wang 001; Zheng-Yu Niu; Peng Zhang; Mrinmaya Sachan; Kaiping Peng (ACL (1), 2023)

Membership Inference Attacks against Language Models via Neighbourhood Comparison. - Justus Mattern; Fatemehsadat Mireshghallah; Zhijing Jin 001; Bernhard Schölkopf; Mrinmaya Sachan; Taylor Berg-Kirkpatrick (ACL (Findings), 2023)

When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP. - Jingwei Ni; Zhijing Jin 001; Qian Wang; Mrinmaya Sachan; Markus Leippold (ACL (1), 2023)

World Models for Math Story Problems. - Andreas Opedal; Niklas Stoehr; Abulhair Saparov; Mrinmaya Sachan (ACL (Findings), 2023)

Distilling Reasoning Capabilities into Smaller Language Models. - Kumar Shridhar; Alessandro Stolfo; Mrinmaya Sachan (ACL (Findings), 2023)

A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models. - Alessandro Stolfo; Zhijing Jin 001; Kumar Shridhar; Bernhard Schölkopf; Mrinmaya Sachan (ACL (1), 2023)

Tokenization and the Noiseless Channel. - Vilém Zouhar; Clara Meister; Juan Luis Gastaldi; Li Du; Mrinmaya Sachan; Ryan Cotterell (ACL (1), 2023)

A Formal Perspective on Byte-Pair Encoding. - Vilém Zouhar; Clara Meister; Juan Luis Gastaldi; Li Du; Tim Vieira; Mrinmaya Sachan; Ryan Cotterell (ACL (Findings), 2023)

Automatic Educational Question Generation with Difficulty Level Controls. - Ying Jiao; Kumar Shridhar; Peng Cui 006; Wangchunshu Zhou; Mrinmaya Sachan (AIED, 2023)

Opportunities and Challenges in Neural Dialog Tutoring. - Jakub Macina; Nico Daheim; Lingzhi Wang 001; Tanmay Sinha; Manu Kapur; Iryna Gurevych; Mrinmaya Sachan (EACL, 2023)

Longtonotes: OntoNotes with Longer Coreference Chains. - Kumar Shridhar; Nicholas Monath; Raghuveer Thirukovalluru; Alessandro Stolfo; Manzil Zaheer; Andrew McCallum; Mrinmaya Sachan (EACL (Findings), 2023)

Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillation. - Lingzhi Wang 001; Mrinmaya Sachan; Xingshan Zeng; Kam-Fai Wong (EACL (Findings), 2023)

Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference. - Vilém Zouhar; Shehzaad Dhuliawala; Wangchunshu Zhou; Nico Daheim; Tom Kocmi; Yuchen Eleanor Jiang; Mrinmaya Sachan (EACL, 2023)

Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective. - Tianyu Liu 004; Afra Amini; Mrinmaya Sachan; Ryan Cotterell (EMNLP, 2023)

Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good. - Fernando Gonzalez Adauto; Zhijing Jin 001; Bernhard Schölkopf; Tom Hope; Mrinmaya Sachan; Rada Mihalcea (EMNLP (Findings), 2023)

A Diachronic Perspective on User Trust in AI under Uncertainty. - Shehzaad Dhuliawala; Vilém Zouhar; Mennatallah El-Assady; Mrinmaya Sachan (EMNLP, 2023)

Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models. - Yifan Hou; Jiaoda Li; Yu Fei; Alessandro Stolfo; Wangchunshu Zhou; Guangtao Zeng; Antoine Bosselut; Mrinmaya Sachan (EMNLP, 2023)

MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems. - Jakub Macina; Nico Daheim; Sankalan Pal Chowdhury; Tanmay Sinha; Manu Kapur; Iryna Gurevych; Mrinmaya Sachan (EMNLP (Findings), 2023)

Enhancing Textbooks with Visuals from the Web for Improved Learning. - Janvijay Singh; Vilém Zouhar; Mrinmaya Sachan (EMNLP, 2023)

Revisiting Automated Topic Model Evaluation with Large Language Models. - Dominik Stammbach; Vilém Zouhar; Alexander Miserlis Hoyle; Mrinmaya Sachan; Elliott Ash (EMNLP, 2023)

A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis. - Alessandro Stolfo; Yonatan Belinkov; Mrinmaya Sachan (EMNLP, 2023)

Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models. - Ruida Wang; Wangchunshu Zhou; Mrinmaya Sachan (EMNLP (Findings), 2023)

Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning. - Mattia Atzeni; Mrinmaya Sachan; Andreas Loukas (ICML, 2023)

Controlled Text Generation with Natural Language Instructions. - Wangchunshu Zhou; Yuchen Eleanor Jiang; Ethan Wilcox; Ryan Cotterell; Mrinmaya Sachan (ICML, 2023)

CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models. - Zhijing Jin 001; Yuen Chen; Felix Leeb; Luigi Gresele; Ojasv Kamal; Zhiheng Lyu; Kevin Blin; Fernando Gonzalez Adauto; Max Kleiman-Weiner; Mrinmaya Sachan; Bernhard Schölkopf (NeurIPS, 2023)

PWESuite: Phonetic Word Embeddings and Tasks They Facilitate. - Vilém Zouhar; Kalvin Chang; Chenxuan Cui; Nathaniel Carlson; Nathaniel R. Robinson; Mrinmaya Sachan; David R. Mortensen (CoRR, 2023)

Psychologically-Inspired Causal Prompts. - Zhiheng Lyu; Zhijing Jin 001; Justus Mattern; Rada Mihalcea; Mrinmaya Sachan; Bernhard Schölkopf (CoRR, 2023)

Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good. - Fernando Gonzalez; Zhijing Jin 001; Bernhard Schölkopf; Tom Hope; Mrinmaya Sachan; Rada Mihalcea (CoRR, 2023)

Variational Classification. - Shehzaad Dhuliawala; Mrinmaya Sachan; Carl Allen (CoRR, 2023)

Discourse Centric Evaluation of Machine Translation with a Densely Annotated Parallel Corpus. - Yuchen Eleanor Jiang; Tianyu Liu 004; Shuming Ma; Dongdong Zhang 001; Mrinmaya Sachan; Ryan Cotterell (CoRR, 2023)

Efficient Prompting via Dynamic In-Context Learning. - Wangchunshu Zhou; Yuchen Eleanor Jiang; Ryan Cotterell; Mrinmaya Sachan (CoRR, 2023)

Re-visiting Automated Topic Model Evaluation with Large Language Models. - Dominik Stammbach; Vilém Zouhar; Alexander Miserlis Hoyle; Mrinmaya Sachan; Elliott Ash (CoRR, 2023)

RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text. - Wangchunshu Zhou; Yuchen Eleanor Jiang; Peng Cui 006; Tiannan Wang; Zhenxin Xiao; Yifan Hou; Ryan Cotterell; Mrinmaya Sachan (CoRR, 2023)

All Roads Lead to Rome? Exploring the Invariance of Transformers' Representations. - Yuxin Ren; Qipeng Guo; Zhijing Jin 001; Shauli Ravfogel; Mrinmaya Sachan; Bernhard Schölkopf; Ryan Cotterell (CoRR, 2023)

Understanding Arithmetic Reasoning in Language Models using Causal Mediation Analysis. - Alessandro Stolfo; Yonatan Belinkov; Mrinmaya Sachan (CoRR, 2023)

Learning the String Partial Order. - Tianyu Liu 004; Afra Amini; Mrinmaya Sachan; Ryan Cotterell (CoRR, 2023)

Agents: An Open-source Framework for Autonomous Language Agents. - Wangchunshu Zhou; Yuchen Eleanor Jiang; Long Li; Jialong Wu 007; Tiannan Wang; Shi Qiu; Jintian Zhang; Jing Chen; Ruipu Wu; Shuai Wang; Shiding Zhu; Jiyu Chen; et al. (CoRR, 2023)

Navigating the Ocean of Biases: Political Bias Attribution in Language Models via Causal Structures. - David F. Jenny; Yann Billeter; Mrinmaya Sachan; Bernhard Schölkopf; Zhijing Jin 001 (CoRR, 2023)

CausalCite: A Causal Formulation of Paper Citations. - Ishan Kumar; Zhijing Jin 001; Ehsan Mokhtarian; Siyuan Guo; Yuen Chen; Negar Kiyavash; Mrinmaya Sachan; Bernhard Schölkopf (ACL (Findings), 2024)

How to Engage your Readers? Generating Guiding Questions to Promote Active Reading. - Peng Cui 006; Vilém Zouhar; Xiaoyu Zhang 014; Mrinmaya Sachan (ACL (1), 2024)

What Do Language Models Learn in Context? The Structured Task Hypothesis. - Jiaoda Li; Yifan Hou; Mrinmaya Sachan; Ryan Cotterell (ACL (1), 2024)

AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators. - Jingwei Ni; Minjing Shi; Dominik Stammbach; Mrinmaya Sachan; Elliott Ash; Markus Leippold (ACL (1), 2024)

Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals. - Francesco Ortu; Zhijing Jin 001; Diego Doimo; Mrinmaya Sachan; Alberto Cazzaniga; Bernhard Schölkopf (ACL (1), 2024)

Book2Dial: Generating Teacher Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots. - Junling Wang 001; Jakub Macina; Nico Daheim; Sankalan Pal Chowdhury; Mrinmaya Sachan (ACL (Findings), 2024)

RELIC: Investigating Large Language Model Responses using Self-Consistency. - Furui Cheng; Vilém Zouhar; Simran Arora; Mrinmaya Sachan; Hendrik Strobelt; Mennatallah El-Assady (CHI, 2024)

PWESuite: Phonetic Word Embeddings and Tasks They Facilitate. - Vilém Zouhar; Kalvin Chang; Chenxuan Cui; Nate B. Carlson; Nathaniel Romney Robinson; Mrinmaya Sachan; David R. Mortensen (LREC/COLING, 2024)

RETRO-LI: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization. - Gentiana Rashiti; Geethan Karunaratne; Mrinmaya Sachan; Abu Sebastian; Abbas Rahimi (ECAI, 2024)

Implicit Personalization in Language Models: A Systematic Study. - Zhijing Jin 001; Nils Heil; Jiarui Liu 004; Shehzaad Dhuliawala; Yahang Qi; Bernhard Schölkopf; Rada Mihalcea; Mrinmaya Sachan (EMNLP (Findings), 2024)

Efficiently Computing Susceptibility to Context in Language Models. - Tianyu Liu 004; Kevin Du; Mrinmaya Sachan; Ryan Cotterell (EMNLP (Findings), 2024)

Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors. - Nico Daheim; Jakub Macina; Manu Kapur; Iryna Gurevych; Mrinmaya Sachan (EMNLP, 2024)

Towards Aligning Language Models with Textual Feedback. - Saüc Abadal Lloret; Shehzaad Dhuliawala; Keerthiram Murugesan; Mrinmaya Sachan (EMNLP, 2024)

Do LLMs Think Fast and Slow? A Causal Study on Sentiment Analysis. - Zhiheng Lyu; Zhijing Jin 001; Fernando Gonzalez Adauto; Rada Mihalcea; Bernhard Schölkopf; Mrinmaya Sachan (EMNLP (Findings), 2024)

Can Large Language Models Infer Causation from Correlation? - Zhijing Jin 001; Jiarui Liu 004; Zhiheng Lyu; Spencer Poff; Mrinmaya Sachan; Rada Mihalcea; Mona T. Diab; Bernhard Schölkopf (ICLR, 2024)

Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners? - Andreas Opedal; Alessandro Stolfo; Haruki Shirakami; Ying Jiao; Ryan Cotterell; Bernhard Schölkopf; Abulhair Saparov; Mrinmaya Sachan (ICML, 2024)

Slicing, Chatting, and Refining: A Concept-Based Approach for Machine Learning Model Validation with ConceptSlicer. - Xiaoyu Zhang 014; Jorge Henrique Piazentin Ono; Wenbin He; Liang Gou; Mrinmaya Sachan; Kwan-Liu Ma; Liu Ren (IUI, 2024)

AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails. - Sankalan Pal Chowdhury; Vilém Zouhar; Mrinmaya Sachan (L@S, 2024)

Elastic Weight Removal for Faithful and Abstractive Dialogue Generation. - Nico Daheim; Nouha Dziri; Mrinmaya Sachan; Iryna Gurevych; Edoardo M. Ponti (NAACL-HLT, 2024)

A Transformer with Stack Attention. - Jiaoda Li; Jennifer C. White; Mrinmaya Sachan; Ryan Cotterell (NAACL-HLT (Findings), 2024)

The ART of LLM Refinement: Ask, Refine, and Trust. - Kumar Shridhar; Koustuv Sinha; Andrew Cohen; Tianlu Wang; Ping Yu; Ramakanth Pasunuru; Mrinmaya Sachan; Jason Weston; Asli Celikyilmaz (NAACL-HLT, 2024)

On Affine Homotopy between Language Encoders. - Robin Chan; Reda Boumasmoud; Anej Svete; Yuxin Ren; Qipeng Guo; Zhijing Jin 001; Shauli Ravfogel; Mrinmaya Sachan; Bernhard Schölkopf; Mennatallah El-Assady; Ryan Cotterell (NeurIPS, 2024)

Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents. - Giorgio Piatti; Zhijing Jin 001; Max Kleiman-Weiner; Bernhard Schölkopf; Mrinmaya Sachan; Rada Mihalcea (NeurIPS, 2024)

Confidence Regulation Neurons in Language Models. - Alessandro Stolfo; Ben Wu 001; Wes Gurnee; Yonatan Belinkov; Xingyi Song; Mrinmaya Sachan; Neel Nanda (NeurIPS, 2024)

Error Span Annotation: A Balanced Approach for Human Evaluation of Machine Translation. - Tom Kocmi; Vilém Zouhar; Eleftherios Avramidis; Roman Grundkiewicz; Marzena Karpinska; Maja Popovic; Mrinmaya Sachan; Mariya Shmatova (WMT, 2024)

Scaling the Authoring of AutoTutors with Large Language Models. - Sankalan Pal Chowdhury; Vilém Zouhar; Mrinmaya Sachan (CoRR, 2024)

On the Causal Nature of Sentiment Analysis. - Zhiheng Lyu; Zhijing Jin 001; Fernando Gonzalez; Rada Mihalcea; Bernhard Schölkopf; Mrinmaya Sachan (CoRR, 2024)

Cooperate or Collapse: Emergence of Sustainability Behaviors in a Society of LLM Agents. - Giorgio Piatti; Zhijing Jin 001; Max Kleiman-Weiner; Bernhard Schölkopf; Mrinmaya Sachan; Rada Mihalcea (CoRR, 2024)

NL2FOL: Translating Natural Language to First-Order Logic for Logical Fallacy Detection. - Abhinav Lalwani; Lovish Chopra; Christopher Hahn; Caroline Trippel; Zhijing Jin 001; Mrinmaya Sachan (CoRR, 2024)

CausalQuest: Collecting Natural Causal Questions for AI Agents. - Roberto Ceraolo; Dmitrii Kharlapenko; Amélie Reymond; Rada Mihalcea; Mrinmaya Sachan; Bernhard Schölkopf; Zhijing Jin 001 (CoRR, 2024)

DIRAS: Efficient LLM-Assisted Annotation of Document Relevance in Retrieval Augmented Generation. - Jingwei Ni; Tobias Schimanski; Meihong Lin; Mrinmaya Sachan; Elliott Ash; Markus Leippold (CoRR, 2024)

Multilingual Trolley Problems for Language Models. - Zhijing Jin 001; Sydney Levine; Max Kleiman-Weiner; Giorgio Piatti; Jiarui Liu 004; Fernando Gonzalez Adauto; Francesco Ortu; András Strausz; Mrinmaya Sachan; Rada Mihalcea; Yejin Choi 001; Bernhard Schölkopf (CoRR, 2024)

Do Vision-Language Models Really Understand Visual Language? - Buse Giledereli; Yifan Hou; Yilei Tu; Mrinmaya Sachan (CoRR, 2024)

Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing. - Yilmazcan Özyurt; Stefan Feuerriegel; Mrinmaya Sachan (CoRR, 2024)

LLM-based Cognitive Models of Students with Misconceptions. - Shashank Sonkar; Xinghe Chen; Naiming Liu; Richard G. Baraniuk; Mrinmaya Sachan (CoRR, 2024)

SMART: Self-learning Meta-strategy Agent for Reasoning Tasks. - Rongxing Liu; Kumar Shridhar; Manish Prajapat; Patrick Xia 002; Mrinmaya Sachan (CoRR, 2024)

Likelihood as a Performance Gauge for Retrieval-Augmented Generation. - Tianyu Liu 004; Jirui Qi; Paul He; Arianna Bisazza; Mrinmaya Sachan; Ryan Cotterell (CoRR, 2024)

Variational Classification: A Probabilistic Generalization of the Softmax Classifier. - Shehzaad Zuzar Dhuliawala; Mrinmaya Sachan; Carl Allen (Trans. Mach. Learn. Res., 2024)

Calibrating Large Language Models with Sample Consistency. - Qing Lyu 001; Kumar Shridhar; Chaitanya Malaviya; Li Zhang 039; Yanai Elazar; Niket Tandon; Marianna Apidianaki; Mrinmaya Sachan; Chris Callison-Burch (AAAI, 2025)

SIKeD: Self-guided Iterative Knowledge Distillation for Mathematical Reasoning. - Shivam Adarsh; Kumar Shridhar; Caglar Gulcehre; Nicholas Monath; Mrinmaya Sachan (ACL (Findings), 2025)

Towards the Pedagogical Steering of Large Language Models for Tutoring: A Case Study with Modeling Productive Failure. - Romain Puech; Jakub Macina; Julia Chatain; Mrinmaya Sachan; Manu Kapur (ACL (Findings), 2025)

GPT-4 as a Homework Tutor Can Improve Student Engagement and Learning Outcomes. - Alessandro Vanzo; Sankalan Pal Chowdhury; Mrinmaya Sachan (ACL (1), 2025)

Generating Pedagogically Meaningful Visuals for Math Word Problems: A New Benchmark and Analysis of Text-to-Image Models. - Junling Wang 001; Anna Rutkiewicz; April Yi Wang; Mrinmaya Sachan (ACL (Findings), 2025)

Language Model Alignment in Multilingual Trolley Problems. - Zhijing Jin 001; Max Kleiman-Weiner; Giorgio Piatti; Sydney Levine; Jiarui Liu 004; Fernando Gonzalez Adauto; Francesco Ortu; András Strausz; Mrinmaya Sachan; Rada Mihalcea; Yejin Choi 001; Bernhard Schölkopf (ICLR, 2025)

MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs. - Andreas Opedal; Haruki Shirakami; Bernhard Schölkopf; Abulhair Saparov; Mrinmaya Sachan (ICLR, 2025)

Investigating the Zone of Proximal Development of Language Models for In-Context Learning. - Peng Cui 006; Mrinmaya Sachan (NAACL (Findings), 2025)

Grammar Control in Dialogue Response Generation for Language Learning Chatbots. - Dominik Glandorf; Peng Cui 006; Detmar Meurers; Mrinmaya Sachan (NAACL (Long Papers), 2025)

Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation. - Tianyu Liu 004; Jirui Qi; Paul He; Arianna Bisazza; Mrinmaya Sachan; Ryan Cotterell (NAACL (Long Papers), 2025)

DIRAS: Efficient LLM Annotation of Document Relevance for Retrieval Augmented Generation. - Jingwei Ni; Tobias Schimanski; Meihong Lin; Mrinmaya Sachan; Elliott Ash; Markus Leippold (NAACL (Long Papers), 2025)

AI-Assisted Human Evaluation of Machine Translation. - Vilém Zouhar; Tom Kocmi; Mrinmaya Sachan (NAACL (Long Papers), 2025)

How to Select Datapoints for Efficient Human Evaluation of NLG Models? - Vilém Zouhar; Peng Cui 006; Mrinmaya Sachan (CoRR, 2025)

Navigating the Helpfulness-Truthfulness Trade-Off with Uncertainty-Aware Instruction Fine-Tuning. - Tianyi Wu; Jingwei Ni; Bryan Hooi; Jiaheng Zhang; Elliott Ash; See-Kiong Ng; Mrinmaya Sachan; Markus Leippold (CoRR, 2025)

MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors. - Jakub Macina; Nico Daheim; Ido Hakimi; Manu Kapur; Iryna Gurevych; Mrinmaya Sachan (CoRR, 2025)

Multilingual Performance Biases of Large Language Models in Education. - Vansh Gupta; Sankalan Pal Chowdhury; Vilém Zouhar; Donya Rooein; Mrinmaya Sachan (CoRR, 2025)

A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs. - Artem Shelmanov; Ekaterina Fadeeva; Akim Tsvigun; Ivan Tsvigun; Zhuohan Xie; Igor Kiselev; Nico Daheim; Caiqi Zhang; Artem Vazhentsev; Mrinmaya Sachan; Preslav Nakov; Timothy Baldwin (CoRR, 2025)

LEXam: Benchmarking Legal Reasoning on 340 Law Exams. - Yu Fan; Jingwei Ni; Jakob Merane; Etienne Salimbeni; Yang Tian; Yoan Hermstrüwer; Yinya Huang; Mubashara Akhtar; Florian Geering; Oliver Dreyer; Daniel Brunner; Markus Leippold; et al. (CoRR, 2025)

From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning. - David Dinucu-Jianu; Jakub Macina; Nico Daheim; Ido Hakimi; Iryna Gurevych; Mrinmaya Sachan (CoRR, 2025)

SeePhys: Does Seeing Help Thinking? - Benchmarking Vision-Based Physics Reasoning. - Kun Xiang; Heng Li; Terry Jingchen Zhang; Yinya Huang; Zirong Liu; Peixin Qu; Jixi He; Jiaqi Chen; Yu-Jie Yuan; Jianhua Han; Hang Xu 004; Hanhui Li; et al. (CoRR, 2025)

Uncertainty-Aware Attention Heads: Efficient Unsupervised Uncertainty Quantification for LLMs. - Artem Vazhentsev; Lyudmila Rvanova; Gleb Kuzmin; Ekaterina Fadeeva; Ivan Lazichny; Alexander Panchenko; Maxim Panov; Timothy Baldwin; Mrinmaya Sachan; Preslav Nakov; Artem Shelmanov (CoRR, 2025)

Faithfulness-Aware Uncertainty Quantification for Fact-Checking the Output of Retrieval Augmented Generation. - Ekaterina Fadeeva; Aleksandr Rubashevskii; Roman Vashurin; Shehzaad Dhuliawala; Artem Shelmanov; Timothy Baldwin; Preslav Nakov; Mrinmaya Sachan; Maxim Panov (CoRR, 2025)

Educators' Perceptions of Large Language Models as Tutors: Comparing Human and AI Tutors in a Blind Text-only Setting. - Sankalan Pal Chowdhury; Terry Jingchen Zhang; Donya Rooein; Dirk Hovy; Tanja Käser; Mrinmaya Sachan (CoRR, 2025)

Improving Large Language Model Safety with Contrastive Representation Learning. - Samuel Simko; Mrinmaya Sachan; Bernhard Schölkopf; Zhijing Jin 001 (CoRR, 2025)

Dense SAE Latents Are Features, Not Bugs. - Xiaoqing Sun; Alessandro Stolfo; Joshua Engels; Ben Wu 001; Senthooran Rajamanoharan; Mrinmaya Sachan; Max Tegmark (CoRR, 2025)

Can Large Language Models Capture Human Annotator Disagreements? - Jingwei Ni; Yu Fan; Vilém Zouhar; Donya Rooein; Alexander Miserlis Hoyle; Mrinmaya Sachan; Markus Leippold; Dirk Hovy; Elliott Ash (CoRR, 2025)

Corrupted by Reasoning: Reasoning Language Models Become Free-Riders in Public Goods Games. - David Guzman Piedrahita; Yongjin Yang; Mrinmaya Sachan; Giorgia Ramponi; Bernhard Schölkopf; Zhijing Jin 001 (CoRR, 2025)

The Medium Is Not the Message: Deconfounding Text Embeddings via Linear Concept Erasure. - Yu Fan; Yang Tian; Shauli Ravfogel; Mrinmaya Sachan; Elliott Ash; Alexander Miserlis Hoyle (CoRR, 2025)

Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification. - Chenfei Xiong; Jingwei Ni; Yu Fan; Vilém Zouhar; Donya Rooein; Lorena Calvo-Bartolomé; Alexander Miserlis Hoyle; Zhijing Jin 001; Mrinmaya Sachan; Markus Leippold; Dirk Hovy; Mennatallah El-Assady; et al. (CoRR, 2025)

Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing. - Yilmazcan Özyurt; Tunaberk Almaci; Stefan Feuerriegel; Mrinmaya Sachan (CoRR, 2025)

Probing for Arithmetic Errors in Language Models. - Yucheng Sun; Alessandro Stolfo; Mrinmaya Sachan (CoRR, 2025)