Mrinmaya Sachan
Assistant Professor
Leads the Language, Reasoning and Education Lab, studying reasoning in language models and NLP for education such as intelligent tutoring and automated feedback.
Mrinmaya Sachan's lab at ETH Zurich works on reasoning & agents, language & society and learning & education technology. 45 papers since 2023, 25 at top venues, mostly EMNLP and ACL. 11 PhD students. 5 alumni.
At a glance
- papers, 2023–2026
- 12/ year
- at T1 venues
- 56%
- PhD students
- 11
- MS students
- 0
- alumni listed
- 5
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 8 papers2025 · T1 7
- 10 papers2024 · T1 4
- 27 papers2023 · T1 14
T1 venuesOtherVenues: EMNLP, ACL, Findings of ACL, Findings of EMNLP, EACL
Research focuspaper titles that use each topic's words
- Language & society20 papers
- Reasoning & agents8 papers
- reasoning8 papers
- Learning & education technology6 papers
- education0 papers
Paper list
From the lab homepage.
20258 papers
- NAACL (T1)Diras: Efficient llm annotation of document relevance for retrieval augmented generation (opens in a new tab)
- EMNLP (T1)From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning (opens in a new tab)
- NAACL (T1)Grammar Control in Dialogue Response Generation for Language Learning Chatbots (opens in a new tab)
- NAACL findingsInvestigating the Zone of Proximal Development of Language Models for In-Context Learning (opens in a new tab)
- ICLR (T1)Language model alignment in multilingual trolley problems (opens in a new tab)
- ICLR (T1)MATHGAP: OUT-OF-DISTRIBUTION EVALUATION ON PROBLEMS WITH ARBITRARILY COMPLEX PROOFS (opens in a new tab)
- EMNLP (T1)MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors (opens in a new tab)
- NAACL (T1)Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation (opens in a new tab)
202410 papers
- Learning at ScaleAutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails (opens in a new tab)
- Findings of ACLBook2Dial: Generating Teacher Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots (opens in a new tab)
- ICML (T1)Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners? (opens in a new tab)
- WMTError Span Annotation: A Balanced Approach for Human Evaluation of Machine Translation (opens in a new tab)
- ACL (T1)How to Engage your Readers? Generating Guiding Questions to Promote Active Reading (opens in a new tab)
- Findings of EMNLPImplicit personalization in language models (opens in a new tab)
- LRECPWESuite: Phonetic Word Embeddings and Tasks They Facilitate (opens in a new tab)
- CHI (T1)RELIC: Investigating Large Language Model Responses using Self-Consistency (opens in a new tab)
- EMNLP (T1)Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors (opens in a new tab)
- ICML WorkshopTowards Aligning Language Models with Textual Feedback (opens in a new tab)
202327 papers
- ACL WorkshopA Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models (opens in a new tab)
- EMNLP (T1)A Diachronic Perspective on User Trust in AI under Uncertainty (opens in a new tab)
- EMNLP (T1)A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis (opens in a new tab)
- ACL (T1)Adaptive and Personalized Exercise Generation for Online Language Learning (opens in a new tab)
- Findings of EMNLPBeyond Good Intentions: Reporting the Research Landscape of NLP for Social Good (opens in a new tab)
- Findings of ACLByte-Pair Encoding is Approximately Optimal (opens in a new tab)
- NeurIPS (T1)CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models (opens in a new tab)
- ICML (T1)Controlled Text Generation with Natural Language Instructions (opens in a new tab)
- ACL (T1)Discourse-Centric Evaluation of Machine Translation with a Densely Annotated Parallel Corpus (opens in a new tab)
- Findings of ACLDistilling Reasoning Capabilities into Smaller Language Models (opens in a new tab)
- AIEDEducational Question Generation with Difficulty Level Controls
- EMNLP (T1)Enhancing Textbooks with Visuals from the Web for Improved Learning (opens in a new tab)
Where alumni went5 listed
Apply to ETH ZurichRolling
Not announced yet
Computer Science Doctorate (D-INFK)
- Round
- Rolling (no deadline)
- Opens
- —
- GRE
- See program page
- English
- Proficiency in written and spoken English
- Fee
- See program page
Confirmed on the program page.
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