PPaperPicks

Mrinmaya Sachan

58 papers at tracked venues · 30 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0001-8787-8681 ↗Homepage ↗

Venues

ACL ×16EMNLP ×13NAACL ×8NeurIPS ×7EACL ×4ICLR ×3ICML ×2AAAI ×1CHI ×1CSCW ×1ECAI ×1IUI ×1

Frequent coauthors

Bernhard Schölkopf
×14
Zhijing Jin
×13
Jingwei Ni
×7
Vilém Zouhar
×7
Ryan Cotterell
×7
Elliott Ash
×6
Nico Daheim
×6
Junling Wang
×5
Markus Leippold
×5
Sankalan Pal Chowdhury
×5
Iryna Gurevych
×5
Jakub Macina
×5

Papers

  1. Bridging Instead of Replacing Online Coding Communities with AI through Community-Enriched Chatbot Designs CSCW008
    CSCW 2026 ·
    Junling Wang
    ,
    Lahari Goswami
    ,
    Gustavo Kreia Umbelino
    ,
    Kiara Chau
    , Mrinmaya Sachan,
    April Yi Wang
  2. Can Reasoning Help Large Language Models Capture Human Annotator Disagreement?
    EACL 2026 ·
    Jingwei Ni
    ,
    Yu Fan
    ,
    Vilém Zouhar
    ,
    Donya Rooein
    ,
    Alexander Miserlis Hoyle
    , Mrinmaya Sachan,
    Markus Leippold
    ,
    Dirk Hovy
    ,
    Elliott Ash
  3. Early-Exit and Instant Confidence Translation Quality Estimation
    EACL 2026 ·
    Vilém Zouhar
    ,
    Maike Züfle
    ,
    Beni Egressy
    ,
    Julius Cheng
    , Mrinmaya Sachan,
    Jan Niehues
  4. Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models
    ACL 2026 ·
    Jingwei Ni
    ,
    Ekaterina Fadeeva
    ,
    Tianyi Wu
    ,
    Mubashara Akhtar
    ,
    Jiaheng Zhang
    ,
    Elliott Ash
    ,
    Markus Leippold
    ,
    Timothy Baldwin
    ,
    See-Kiong Ng
    ,
    Artem Shelmanov
    , Mrinmaya Sachan
  5. Faithfulness-Aware Uncertainty Quantification for Fact-Checking the Output of Retrieval-Augmented Generation
    ACL 2026 ·
    Ekaterina Fadeeva
    ,
    Aleksandr Rubashevskii
    ,
    Dzianis Piatrashyn
    ,
    Roman Vashurin
    ,
    Shehzaad Dhuliawala
    ,
    Artem Shelmanov
    ,
    Timothy Baldwin
    ,
    Preslav Nakov
    , Mrinmaya Sachan,
    Maxim Panov
  6. PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors
    EACL 2026 ·
    Donya Rooein
    ,
    Sankalan Pal Chowdhury
    ,
    Mariia Eremeeva
    ,
    Yuan Qin
    ,
    Debora Nozza
    , Mrinmaya Sachan,
    Dirk Hovy
  7. PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers in Overleaf
    ACL 2026 ·
    Jiarui Liu
    ,
    Terry Jingchen Zhang
    ,
    Ryan Faulkner
    ,
    Xuanqiang Angelo Huang
    ,
    Vilém Zouhar
    ,
    Dominik Glandorf
    ,
    Isabel Dahlgren
    ,
    Rishit Dagli
    ,
    Yuen Chen
    ,
    Felix Leeb
    ,
    Van Q. Truong
    ,
    Punya Syon Pandey
    ,
    Yves Bicker
    ,
    Suvajit Majumder
    ,
    Wenyuan Jiang
    ,
    Zeju Qiu
    ,
    Sankalan Pal Chowdhury
    , Mrinmaya Sachan,
    Bernhard Schölkopf
    ,
    Mona T. Diab
    ,
    Zhijing Jin
  8. Tackling the Root of Misinformation by Teaching Laypeople about Logical Fallacies via Socratic Questioning and Critical Argumentation
    ACL 2026 ·
    Minjing Shi
    ,
    Junling Wang
    ,
    Jingwei Ni
    ,
    Sankalan Pal Chowdhury
    , Mrinmaya Sachan
  9. Test of Time: Rethinking Temporal Signal of Benchmark Contamination
    ACL 2026 ·
    Terry Jingchen Zhang
    ,
    Gopal Dev
    ,
    Ning Wang
    ,
    Max Obreiter
    ,
    Wenyuan Jiang
    ,
    Punya Syon Pandey
    ,
    Keenan Samway
    ,
    Yinya Huang
    ,
    Bernhard Schölkopf
    , Mrinmaya Sachan,
    Zhijing Jin
  10. ThinkBooster: A Unified Framework for Seamless Test-Time Scaling of LLM Reasoning
    ACL 2026 ·
    Vladislav Smirnov
    ,
    Quang-Chieu Nguyen
    ,
    Sergey Senichev
    ,
    Minh Ngoc Ta
    ,
    Ekaterina Fadeeva
    ,
    Artem Vazhentsev
    ,
    Daria Galimzianova
    ,
    Nikolai Rozanov
    ,
    Viktor Mazanov
    ,
    Jingwei Ni
    ,
    Tianyi Wu
    ,
    Igor Kiselev
    , Mrinmaya Sachan,
    Iryna Gurevych
    ,
    Preslav Nakov
    ,
    Timothy Baldwin
    ,
    Artem Shelmanov
  11. Uncovering Hidden Correctness in LLM Causal Reasoning via Symbolic Verification
    EACL 2026 ·
    Paul He
    ,
    Yinya Huang
    , Mrinmaya Sachan,
    Zhijing Jin
  12. A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs
    EMNLP 2025 ·
    Artem Shelmanov
    ,
    Ekaterina Fadeeva
    ,
    Akim Tsvigun
    ,
    Ivan Tsvigun
    ,
    Zhuohan Xie
    ,
    Igor Kiselev
    ,
    Nico Daheim
    ,
    Caiqi Zhang
    ,
    Artem Vazhentsev
    , Mrinmaya Sachan,
    Preslav Nakov
    ,
    Timothy Baldwin
  13. AI-Assisted Human Evaluation of Machine Translation
    NAACL 2025 ·
    Vilém Zouhar
    ,
    Tom Kocmi
    , Mrinmaya Sachan
  14. Are Language Models Efficient Reasoners? A Perspective from Logic Programming
    NeurIPS 2025 ·
    Andreas Opedal
    ,
    Yanick Zengaffinen
    ,
    Haruki Shirakami
    ,
    Clemente Pasti
    , Mrinmaya Sachan,
    Abulhair Saparov
    ,
    Ryan Cotterell
    ,
    Bernhard Schölkopf
  15. Calibrating Large Language Models with Sample Consistency
    AAAI 2025 ·
    Qing Lyu
    ,
    Kumar Shridhar
    ,
    Chaitanya Malaviya
    ,
    Li Zhang
    ,
    Yanai Elazar
    ,
    Niket Tandon
    ,
    Marianna Apidianaki
    , Mrinmaya Sachan,
    Chris Callison-Burch
  16. Can Vision-Language Models Solve Visual Math Equations?
    EMNLP 2025 ·
    Monjoy Narayan Choudhury
    ,
    Junling Wang
    ,
    Yifan Hou
    , Mrinmaya Sachan
  17. Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification
    EMNLP 2025 ·
    Chenfei Xiong
    ,
    Jingwei Ni
    ,
    Yu Fan
    ,
    Vilém Zouhar
    ,
    Donya Rooein
    ,
    Lorena Calvo-Bartolomé
    ,
    Alexander Miserlis Hoyle
    ,
    Zhijing Jin
    , Mrinmaya Sachan,
    Markus Leippold
    ,
    Dirk Hovy
    ,
    Mennatallah El-Assady
    ,
    Elliott Ash
  18. DIRAS: Efficient LLM Annotation of Document Relevance for Retrieval Augmented Generation
    NAACL 2025 ·
    Jingwei Ni
    ,
    Tobias Schimanski
    ,
    Meihong Lin
    , Mrinmaya Sachan,
    Elliott Ash
    ,
    Markus Leippold
  19. Dense SAE Latents Are Features, Not Bugs
    NeurIPS 2025 ·
    Xiaoqing Sun
    ,
    Alessandro Stolfo
    ,
    Joshua Engels
    ,
    Ben Wu
    ,
    Senthooran Rajamanoharan
    , Mrinmaya Sachan,
    Max Tegmark
  20. Do Vision-Language Models Really Understand Visual Language?
    ICML 2025 ·
    Yifan Hou
    ,
    Buse Giledereli
    ,
    Yilei Tu
    , Mrinmaya Sachan
  21. From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning
    EMNLP 2025 ·
    David Dinucu-Jianu
    ,
    Jakub Macina
    ,
    Nico Daheim
    ,
    Ido Hakimi
    ,
    Iryna Gurevych
    , Mrinmaya Sachan
  22. GPT-4 as a Homework Tutor Can Improve Student Engagement and Learning Outcomes
    ACL 2025 ·
    Alessandro Vanzo
    ,
    Sankalan Pal Chowdhury
    , Mrinmaya Sachan
  23. Generating Pedagogically Meaningful Visuals for Math Word Problems: A New Benchmark and Analysis of Text-to-Image Models
    ACL 2025 ·
    Junling Wang
    ,
    Anna Rutkiewicz
    ,
    April Yi Wang
    , Mrinmaya Sachan
  24. Grammar Control in Dialogue Response Generation for Language Learning Chatbots
    NAACL 2025 ·
    Dominik Glandorf
    ,
    Peng Cui
    ,
    Detmar Meurers
    , Mrinmaya Sachan
  25. Improving Large Language Model Safety with Contrastive Representation Learning
    EMNLP 2025 ·
    Samuel Simko
    , Mrinmaya Sachan,
    Bernhard Schölkopf
    ,
    Zhijing Jin
  26. Investigating the Zone of Proximal Development of Language Models for In-Context Learning
    NAACL 2025 ·
    Peng Cui
    , Mrinmaya Sachan
  27. Language Model Alignment in Multilingual Trolley Problems
    ICLR 2025 ·
    Zhijing Jin
    ,
    Max Kleiman-Weiner
    ,
    Giorgio Piatti
    ,
    Sydney Levine
    ,
    Jiarui Liu
    ,
    Fernando Gonzalez Adauto
    ,
    Francesco Ortu
    ,
    András Strausz
    , Mrinmaya Sachan,
    Rada Mihalcea
    ,
    Yejin Choi
    ,
    Bernhard Schölkopf
  28. MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs
    ICLR 2025 ·
    Andreas Opedal
    ,
    Haruki Shirakami
    ,
    Bernhard Schölkopf
    ,
    Abulhair Saparov
    , Mrinmaya Sachan
  29. MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors
    EMNLP 2025 ·
    Jakub Macina
    ,
    Nico Daheim
    ,
    Ido Hakimi
    ,
    Manu Kapur
    ,
    Iryna Gurevych
    , Mrinmaya Sachan
  30. Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing
    NeurIPS 2025 ·
    Yilmazcan Özyurt
    ,
    Tunaberk Almaci
    ,
    Stefan Feuerriegel
    , Mrinmaya Sachan
  31. Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation
    NAACL 2025 ·
    Tianyu Liu
    ,
    Jirui Qi
    ,
    Paul He
    ,
    Arianna Bisazza
    , Mrinmaya Sachan,
    Ryan Cotterell
  32. Probing for Arithmetic Errors in Language Models
    EMNLP 2025 ·
    Yucheng Sun
    ,
    Alessandro Stolfo
    , Mrinmaya Sachan
  33. SIKeD: Self-guided Iterative Knowledge Distillation for Mathematical Reasoning
    ACL 2025 ·
    Shivam Adarsh
    ,
    Kumar Shridhar
    ,
    Caglar Gulcehre
    ,
    Nicholas Monath
    , Mrinmaya Sachan
  34. SeePhys: Does Seeing Help Thinking? - Benchmarking Vision-Based Physics Reasoning
    NeurIPS 2025 ·
    Kun Xiang
    ,
    Heng Li
    ,
    Terry Jingchen Zhang
    ,
    Yinya Huang
    ,
    Zirong Liu
    ,
    Peixin Qu
    ,
    Jixi He
    ,
    Jiaqi Chen
    ,
    Yu-Jie Yuan
    ,
    Jianhua Han
    ,
    Hang Xu
    ,
    Hanhui Li
    , Mrinmaya Sachan,
    Xiaodan Liang
  35. The Medium Is Not the Message: Deconfounding Document Embeddings via Linear Concept Erasure
    EMNLP 2025 ·
    Yu Fan
    ,
    Yang Tian
    ,
    Shauli Ravfogel
    , Mrinmaya Sachan,
    Elliott Ash
    ,
    Alexander Miserlis Hoyle
  36. Towards the Pedagogical Steering of Large Language Models for Tutoring: A Case Study with Modeling Productive Failure
    ACL 2025 ·
    Romain Puech
    ,
    Jakub Macina
    ,
    Julia Chatain
    , Mrinmaya Sachan,
    Manu Kapur
  37. A Transformer with Stack Attention
    NAACL 2024 ·
    Jiaoda Li
    ,
    Jennifer C. White
    , Mrinmaya Sachan,
    Ryan Cotterell
  38. AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators
    ACL 2024 ·
    Jingwei Ni
    ,
    Minjing Shi
    ,
    Dominik Stammbach
    , Mrinmaya Sachan,
    Elliott Ash
    ,
    Markus Leippold
  39. Book2Dial: Generating Teacher Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots
    ACL 2024 ·
    Junling Wang
    ,
    Jakub Macina
    ,
    Nico Daheim
    ,
    Sankalan Pal Chowdhury
    , Mrinmaya Sachan
  40. Can Large Language Models Infer Causation from Correlation?
    ICLR 2024 ·
    Zhijing Jin
    ,
    Jiarui Liu
    ,
    Zhiheng Lyu
    ,
    Spencer Poff
    , Mrinmaya Sachan,
    Rada Mihalcea
    ,
    Mona T. Diab
    ,
    Bernhard Schölkopf
  41. CausalCite: A Causal Formulation of Paper Citations
    ACL 2024 ·
    Ishan Kumar
    ,
    Zhijing Jin
    ,
    Ehsan Mokhtarian
    ,
    Siyuan Guo
    ,
    Yuen Chen
    ,
    Negar Kiyavash
    , Mrinmaya Sachan,
    Bernhard Schölkopf
  42. Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals
    ACL 2024 ·
    Francesco Ortu
    ,
    Zhijing Jin
    ,
    Diego Doimo
    , Mrinmaya Sachan,
    Alberto Cazzaniga
    ,
    Bernhard Schölkopf
  43. Confidence Regulation Neurons in Language Models
    NeurIPS 2024 ·
    Alessandro Stolfo
    ,
    Ben Wu
    ,
    Wes Gurnee
    ,
    Yonatan Belinkov
    ,
    Xingyi Song
    , Mrinmaya Sachan,
    Neel Nanda
  44. Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents
    NeurIPS 2024 ·
    Giorgio Piatti
    ,
    Zhijing Jin
    ,
    Max Kleiman-Weiner
    ,
    Bernhard Schölkopf
    , Mrinmaya Sachan,
    Rada Mihalcea
  45. Do LLMs Think Fast and Slow? A Causal Study on Sentiment Analysis
    EMNLP 2024 ·
    Zhiheng Lyu
    ,
    Zhijing Jin
    ,
    Fernando Gonzalez Adauto
    ,
    Rada Mihalcea
    ,
    Bernhard Schölkopf
    , Mrinmaya Sachan
  46. Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?
    ICML 2024 ·
    Andreas Opedal
    ,
    Alessandro Stolfo
    ,
    Haruki Shirakami
    ,
    Ying Jiao
    ,
    Ryan Cotterell
    ,
    Bernhard Schölkopf
    ,
    Abulhair Saparov
    , Mrinmaya Sachan
  47. Efficiently Computing Susceptibility to Context in Language Models
    EMNLP 2024 ·
    Tianyu Liu
    ,
    Kevin Du
    , Mrinmaya Sachan,
    Ryan Cotterell
  48. Elastic Weight Removal for Faithful and Abstractive Dialogue Generation
    NAACL 2024 ·
    Nico Daheim
    ,
    Nouha Dziri
    , Mrinmaya Sachan,
    Iryna Gurevych
    ,
    Edoardo M. Ponti
  49. How to Engage your Readers? Generating Guiding Questions to Promote Active Reading
    ACL 2024 ·
    Peng Cui
    ,
    Vilém Zouhar
    ,
    Xiaoyu Zhang
    , Mrinmaya Sachan
  50. Implicit Personalization in Language Models: A Systematic Study
    EMNLP 2024 ·
    Zhijing Jin
    ,
    Nils Heil
    ,
    Jiarui Liu
    ,
    Shehzaad Dhuliawala
    ,
    Yahang Qi
    ,
    Bernhard Schölkopf
    ,
    Rada Mihalcea
    , Mrinmaya Sachan
  51. On Affine Homotopy between Language Encoders
    NeurIPS 2024 ·
    Robin Chan
    ,
    Reda Boumasmoud
    ,
    Anej Svete
    ,
    Yuxin Ren
    ,
    Qipeng Guo
    ,
    Zhijing Jin
    ,
    Shauli Ravfogel
    , Mrinmaya Sachan,
    Bernhard Schölkopf
    ,
    Mennatallah El-Assady
    ,
    Ryan Cotterell
  52. RELIC: Investigating Large Language Model Responses using Self-Consistency
    CHI 2024 ·
    Furui Cheng
    ,
    Vilém Zouhar
    ,
    Simran Arora
    , Mrinmaya Sachan,
    Hendrik Strobelt
    ,
    Mennatallah El-Assady
  53. RETRO-LI: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization
    ECAI 2024 ·
    Gentiana Rashiti
    ,
    Geethan Karunaratne
    , Mrinmaya Sachan,
    Abu Sebastian
    ,
    Abbas Rahimi
  54. Slicing, Chatting, and Refining: A Concept-Based Approach for Machine Learning Model Validation with ConceptSlicer
    IUI 2024 ·
    Xiaoyu Zhang
    ,
    Jorge Henrique Piazentin Ono
    ,
    Wenbin He
    ,
    Liang Gou
    , Mrinmaya Sachan,
    Kwan-Liu Ma
    ,
    Liu Ren
  55. Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors
    EMNLP 2024 ·
    Nico Daheim
    ,
    Jakub Macina
    ,
    Manu Kapur
    ,
    Iryna Gurevych
    , Mrinmaya Sachan
  56. The ART of LLM Refinement: Ask, Refine, and Trust
    NAACL 2024 ·
    Kumar Shridhar
    ,
    Koustuv Sinha
    ,
    Andrew Cohen
    ,
    Tianlu Wang
    ,
    Ping Yu
    ,
    Ramakanth Pasunuru
    , Mrinmaya Sachan,
    Jason Weston
    ,
    Asli Celikyilmaz
  57. Towards Aligning Language Models with Textual Feedback
    EMNLP 2024 ·
    Saüc Abadal Lloret
    ,
    Shehzaad Dhuliawala
    ,
    Keerthiram Murugesan
    , Mrinmaya Sachan
  58. What Do Language Models Learn in Context? The Structured Task Hypothesis
    ACL 2024 ·
    Jiaoda Li
    ,
    Yifan Hou
    , Mrinmaya Sachan,
    Ryan Cotterell