← Authors

Mrinmaya Sachan

127 papers · 2011–2026 · 13 conferences · across top CS/AI conferences

Achievements

๐Ÿฃ Hot Topic Early Bird ๐Ÿ Cross-Pollinator (7) ๐ŸŒ Conference Polyglot (12) ๐Ÿƒ Academic Marathon (14) ๐ŸŒ‰ Interdisciplinary Bridge ๐Ÿ—บ๏ธ Taxonomy Completionist (11) ๐ŸŒˆ Renaissance Researcher (12) ๐Ÿงญ Keyword Pioneer ๐Ÿ  Conference Loyalist (36) ๐Ÿค Dynamic Duo (25) ๐Ÿ‘‘ Triple Crown ๐Ÿ† Keyword Champion ๐Ÿ† Grand Slam ๐ŸŒฑ Topic Pioneer ๐Ÿ”ฌ Deep Specialist (19) ๐Ÿงฌ Topic Evolution ๐Ÿ“ˆ Trend Setter โ“ The Questioner (15) ๐Ÿ—ƒ๏ธ Keyword Collector (488) ๐Ÿ”ฅ Unstoppable (6) ๐Ÿ’Ž Century Club (121) โšก Prolific Year (21)

Conferences

ACL (37) EMNLP (36) NAACL (15) EACL (8) IJCNLP (8) NIPS (6) ICLR (4) ICML (4) AAAI (3) AACL (2) IJCAI (2) COLING (1) MLHC (1)

Top co-authors

Zhijing Jin (28) Bernhard Schรถlkopf (22) Vilรฉm Zouhar (15) Ryan Cotterell (15) Rada Mihalcea (12) Nico Daheim (11) Eric Xing (10) Jakub Macina (10) Kumar Shridhar (9) Alessandro Stolfo (9)

Research topics

Education (9) Applications (1) Privacy (1) Digital Humanities (1)

Keywords

large language model (35) language model (15) causal inference (8) machine translation (7) text classification (6) educational technology (6) reinforcement learning (6) pretrained language model (6) coreference resolution (6) text generation (5) dialogue system (5) transfer learning (5) mathematical reasoning (4) knowledge graph (4) tutoring system (4) representation learning (4) in-context learning (4) question answering (4) math word problem (4) uncertainty quantification (3)

Papers

PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors EACL 2026
Can Reasoning Help Large Language Models Capture Human Annotator Disagreement? EACL 2026
Uncovering Hidden Correctness in LLM Causal Reasoning via Symbolic Verification EACL 2026
Early-Exit and Instant Confidence Translation Quality Estimation EACL 2026
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? Teachersโ€™ Insights from Tutoring LLM Students ACL 2025
Educatorsโ€™ Perceptions of Large Language Models as Tutors: Comparing Human and AI Tutors in a Blind Text-only Setting ACL 2025
From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning EMNLP 2025
The Medium Is Not the Message: Deconfounding Document Embeddings via Linear Concept Erasure 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
DIRAS: Efficient LLM Annotation of Document Relevance for Retrieval Augmented Generation NAACL 2025
Improving Large Language Model Safety with Contrastive Representation Learning EMNLP 2025
Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation NAACL 2025
A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs EMNLP 2025
Can Vision-Language Models Solve Visual Math Equations? EMNLP 2025
Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification EMNLP 2025
MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors EMNLP 2025
Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy Detection AACL 2025
Calibrating Large Language Models with Sample Consistency AAAI 2025
Quriosity: Analyzing Human Questioning Behavior and Causal Inquiry through Curiosity-Driven Queries AACL 2025
Do Vision-Language Models Really Understand Visual Language? ICML 2025
Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy Detection IJCNLP 2025
Quriosity: Analyzing Human Questioning Behavior and Causal Inquiry through Curiosity-Driven Queries IJCNLP 2025
Are Large Language Models for Education Reliable Across Languages? ACL 2025
COMET-poly: Machine Translation Metric Grounded in Other Candidates EMNLP 2025
AI-Assisted Human Evaluation of Machine Translation NAACL 2025
MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs ICLR 2025
Language Model Alignment in Multilingual Trolley Problems ICLR 2025
Probing for Arithmetic Errors in Language Models EMNLP 2025
On Affine Homotopy between Language Encoders NIPS 2024
Can Large Language Models Infer Causation from Correlation? ICLR 2024
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners? ICML 2024
A Transformer with Stack Attention NAACL 2024
Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents NIPS 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
PWESuite: Phonetic Word Embeddings and Tasks They Facilitate COLING 2024
Elastic Weight Removal for Faithful and Abstractive Dialogue Generation NAACL 2024
The ART of LLM Refinement: Ask, Refine, and Trust NAACL 2024
Confidence Regulation Neurons in Language Models NIPS 2024
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors EMNLP 2024
Towards Aligning Language Models with Textual Feedback EMNLP 2024
Efficiently Computing Susceptibility to Context in Language Models EMNLP 2024
Do LLMs Think Fast and Slow? A Causal Study on Sentiment Analysis EMNLP 2024
Implicit Personalization in Language Models: A Systematic Study EMNLP 2024
Error Span Annotation: A Balanced Approach for Human Evaluation of Machine Translation EMNLP 2024
A Formal Perspective on Byte-Pair Encoding ACL 2023
Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning ICML 2023
XDailyDialog: A Multilingual Parallel Dialogue Corpus ACL 2023
CLadder: Assessing Causal Reasoning in Language Models NIPS 2023
Adaptive and Personalized Exercise Generation for Online Language Learning ACL 2023
Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels ACL 2023
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP ACL 2023
Tokenization and the Noiseless Channel ACL 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
A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis 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
Membership Inference Attacks against Language Models via Neighbourhood Comparison ACL 2023
Letโ€™s Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models EMNLP 2023
Poor Manโ€™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
A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models ACL 2023
Controlled Text Generation with Natural Language Instructions ICML 2023
World Models for Math Story Problems ACL 2023
Distilling Reasoning Capabilities into Smaller Language Models ACL 2023
Self-Supervised Contrastive Learning with Adversarial Perturbations for Defending Word Substitution-based Attacks NAACL 2022
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment NIPS 2022
Deep Clustering of Text Representations for Supervision-Free Probing of Syntax AAAI 2022
Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang ACL 2022
Calibration of Machine Reading Systems at Scale ACL 2022
Automatic Generation of Socratic Subquestions for Teaching Math Word Problems EMNLP 2022
Differentially Private Language Models for Secure Data Sharing EMNLP 2022
Beyond prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations EMNLP 2022
Autoregressive Structured Prediction with Language Models EMNLP 2022
What Has Been Enhanced in my Knowledge-Enhanced Language Model? EMNLP 2022
Adapters for Enhanced Modeling of Multilingual Knowledge and Text EMNLP 2022
Logical Fallacy Detection EMNLP 2022
Case-based reasoning for better generalization in textual reinforcement learning ICLR 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
A Simple Unsupervised Approach for Coreference Resolution using Rule-based Weak Supervision NAACL 2022
Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations ACL 2021
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines AAAI 2021
Birdโ€™s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach IJCNLP 2021
How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact ACL 2021
Scaling Within Document Coreference to Long Texts ACL 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
โ€œLet Your Characters Tell Their Storyโ€: 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
Birdโ€™s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ACL 2021
Knowledge Graph Embedding Compression ACL 2020
Contextual Parameter Generation for Universal Neural Machine Translation EMNLP 2018
Standardized Tests as benchmarks for Artificial Intelligence EMNLP 2018
Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition MLHC 2018
Self-Training for Jointly Learning to Ask and Answer Questions NAACL 2018
Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems NIPS 2018
From Textbooks to Knowledge: A Case Study in Harvesting Axiomatic Knowledge from Textbooks to Solve Geometry Problems EMNLP 2017
Science Question Answering using Instructional Materials ACL 2016
Easy Questions First? A Case Study on Curriculum Learning for Question Answering ACL 2016
Machine Comprehension using Rich Semantic Representations ACL 2016
Learning Concept Taxonomies from Multi-modal Data ACL 2016
Grounding Topic Models with Knowledge Bases IJCAI 2016
Learning Answer-Entailing Structures for Machine Comprehension ACL 2015
An Active Learning Approach to Coreference Resolution IJCAI 2015
Learning Answer-Entailing Structures for Machine Comprehension IJCNLP 2015
A Structured Distributional Semantic Model for Event Co-reference ACL 2013
Using Text Reviews for Product Entity Completion IJCNLP 2011