Mrinmaya Sachan

Test of Time: Rethinking Temporal Signal of Benchmark Contamination ACL 2026 Tackling the Root of Misinformation by Teaching Laypeople about Logical Fallacies via Socratic Questioning and Critical Argumentation ACL 2026 PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers in Overleaf ACL 2026 Can Reasoning Help Large Language Models Capture Human Annotator Disagreement? EACL 2026 ThinkBooster: A Unified Framework for Seamless Test-Time Scaling of LLM Reasoning ACL 2026 Early-Exit and Instant Confidence Translation Quality Estimation EACL 2026 Uncovering Hidden Correctness in LLM Causal Reasoning via Symbolic Verification EACL 2026 PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors EACL 2026 Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models ACL 2026 MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors EMNLP 2025 From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning EMNLP 2025 Probing for Arithmetic Errors in Language Models EMNLP 2025 Can Vision-Language Models Solve Visual Math Equations? EMNLP 2025 Improving Large Language Model Safety with Contrastive Representation Learning EMNLP 2025 The Medium Is Not the Message: Deconfounding Document Embeddings via Linear Concept Erasure EMNLP 2025 Are Large Language Models for Education Reliable Across Languages? ACL 2025 COMET-poly: Machine Translation Metric Grounded in Other Candidates EMNLP 2025 Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification EMNLP 2025 Investigating the Zone of Proximal Development of Language Models for In-Context Learning NAACL 2025 Grammar Control in Dialogue Response Generation for Language Learning Chatbots NAACL 2025 A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs EMNLP 2025 DIRAS: Efficient LLM Annotation of Document Relevance for Retrieval Augmented Generation NAACL 2025 AI-Assisted Human Evaluation of Machine Translation NAACL 2025 Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation NAACL 2025 Calibrating Large Language Models with Sample Consistency AAAI 2025 Quriosity: Analyzing Human Questioning Behavior and Causal Inquiry through Curiosity-Driven Queries AACL 2025 GPT-4 as a Homework Tutor Can Improve Student Engagement and Learning Outcomes ACL 2025 SIKeD: Self-guided Iterative Knowledge Distillation for Mathematical Reasoning ACL 2025 Generating Pedagogically Meaningful Visuals for Math Word Problems: A New Benchmark and Analysis of Text-to-Image Models ACL 2025 Towards the Pedagogical Steering of Large Language Models for Tutoring: A Case Study with Modeling Productive Failure ACL 2025 Large Language Models for Education: Understanding the Needs of Stakeholders, Current Capabilities and the Path Forward ACL 2025 Can LLMs Effectively Simulate Human Learners? Teachers’ Insights from Tutoring LLM Students ACL 2025 Educators’ Perceptions of Large Language Models as Tutors: Comparing Human and AI Tutors in a Blind Text-only Setting ACL 2025 Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy Detection AACL 2025 Quriosity: Analyzing Human Questioning Behavior and Causal Inquiry through Curiosity-Driven Queries IJCNLP 2025 Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy Detection IJCNLP 2025 Do Vision-Language Models Really Understand Visual Language? ICML 2025 Language Model Alignment in Multilingual Trolley Problems ICLR 2025 MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs ICLR 2025 Towards Aligning Language Models with Textual Feedback EMNLP 2024 Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors EMNLP 2024 On Affine Homotopy between Language Encoders NIPS 2024 A Transformer with Stack Attention NAACL 2024 Elastic Weight Removal for Faithful and Abstractive Dialogue Generation NAACL 2024 The ART of LLM Refinement: Ask, Refine, and Trust NAACL 2024 Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents NIPS 2024 Confidence Regulation Neurons in Language Models NIPS 2024 Error Span Annotation: A Balanced Approach for Human Evaluation of Machine Translation EMNLP 2024 Implicit Personalization in Language Models: A Systematic Study EMNLP 2024 Can Large Language Models Infer Causation from Correlation? ICLR 2024 Do LLMs Think Fast and Slow? A Causal Study on Sentiment Analysis EMNLP 2024 Efficiently Computing Susceptibility to Context in Language Models EMNLP 2024 PWESuite: Phonetic Word Embeddings and Tasks They Facilitate COLING 2024 AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators ACL 2024 Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals ACL 2024 How to Engage your Readers? Generating Guiding Questions to Promote Active Reading ACL 2024 What Do Language Models Learn in Context? The Structured Task Hypothesis. ACL 2024 CausalCite: A Causal Formulation of Paper Citations ACL 2024 Book2Dial: Generating Teacher Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots ACL 2024 Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners? ICML 2024 A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis EMNLP 2023 CLadder: Assessing Causal Reasoning in Language Models NIPS 2023 A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models ACL 2023 Tokenization and the Noiseless Channel ACL 2023 When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP ACL 2023 Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels ACL 2023 Adaptive and Personalized Exercise Generation for Online Language Learning ACL 2023 XDailyDialog: A Multilingual Parallel Dialogue Corpus ACL 2023 A Formal Perspective on Byte-Pair Encoding ACL 2023 Distilling Reasoning Capabilities into Smaller Language Models ACL 2023 World Models for Math Story Problems ACL 2023 Membership Inference Attacks against Language Models via Neighbourhood Comparison ACL 2023 Poor Man’s Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference EACL 2023 Opportunities and Challenges in Neural Dialog Tutoring EACL 2023 Longtonotes: OntoNotes with Longer Coreference Chains EACL 2023 Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillation EACL 2023 Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective EMNLP 2023 Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models EMNLP 2023 A Diachronic Perspective on User Trust in AI under Uncertainty EMNLP 2023 Revisiting Automated Topic Model Evaluation with Large Language Models EMNLP 2023 Enhancing Textbooks with Visuals from the Web for Improved Learning EMNLP 2023 Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good EMNLP 2023 MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems EMNLP 2023 Let’s Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models EMNLP 2023 Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning ICML 2023 Controlled Text Generation with Natural Language Instructions ICML 2023 Differentially Private Language Models for Secure Data Sharing EMNLP 2022 Calibration of Machine Reading Systems at Scale ACL 2022 A Simple Unsupervised Approach for Coreference Resolution using Rule-based Weak Supervision NAACL 2022 Probing via Prompting NAACL 2022 BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation NAACL 2022 A Structured Span Selector NAACL 2022 Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance NAACL 2022 Self-Supervised Contrastive Learning with Adversarial Perturbations for Defending Word Substitution-based Attacks NAACL 2022 Automatic Generation of Socratic Subquestions for Teaching Math Word Problems EMNLP 2022 Logical Fallacy Detection EMNLP 2022 Deep Clustering of Text Representations for Supervision-Free Probing of Syntax AAAI 2022 Adapters for Enhanced Modeling of Multilingual Knowledge and Text EMNLP 2022 Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang ACL 2022 What Has Been Enhanced in my Knowledge-Enhanced Language Model? EMNLP 2022 Autoregressive Structured Prediction with Language Models EMNLP 2022 Beyond prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations EMNLP 2022 Case-based reasoning for better generalization in textual reinforcement learning ICLR 2022 When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment NIPS 2022 Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ACL 2021 Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines AAAI 2021 Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach IJCNLP 2021 Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations IJCNLP 2021 How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact IJCNLP 2021 Scaling Within Document Coreference to Long Texts IJCNLP 2021 “Let Your Characters Tell Their Story”: A Dataset for Character-Centric Narrative Understanding EMNLP 2021 Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP EMNLP 2021 Scaling Within Document Coreference to Long Texts ACL 2021 How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact ACL 2021 Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations ACL 2021 Knowledge Graph Embedding Compression ACL 2020 Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition MLHC 2018 Contextual Parameter Generation for Universal Neural Machine Translation EMNLP 2018 Standardized Tests as benchmarks for Artificial Intelligence EMNLP 2018 Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems NIPS 2018 Self-Training for Jointly Learning to Ask and Answer Questions NAACL 2018 From Textbooks to Knowledge: A Case Study in Harvesting Axiomatic Knowledge from Textbooks to Solve Geometry Problems EMNLP 2017 Machine Comprehension using Rich Semantic Representations ACL 2016 Grounding Topic Models with Knowledge Bases IJCAI 2016 Science Question Answering using Instructional Materials ACL 2016 Learning Concept Taxonomies from Multi-modal Data ACL 2016 Easy Questions First? A Case Study on Curriculum Learning for Question Answering ACL 2016 Learning Answer-Entailing Structures for Machine Comprehension IJCNLP 2015 Learning Answer-Entailing Structures for Machine Comprehension ACL 2015 An Active Learning Approach to Coreference Resolution IJCAI 2015 A Structured Distributional Semantic Model for Event Co-reference ACL 2013 Using Text Reviews for Product Entity Completion IJCNLP 2011