Mrinmaya Sachan

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 175

Top Venues

Publications

Ishan Agrawal, Zhijing Jin, Ehsan Mokhtarian, Siyuan Guo, Yuen Chen, Mrinmaya Sachan, Bernhard Schölkopf
CausalCite: A Causal Formulation of Paper Citations. ACL (Findings) (2024)
Jiaoda Li, Yifan Hou, Mrinmaya Sachan, Ryan Cotterell
What Do Language Models Learn in Context? The Structured Task Hypothesis. CoRR (2024)
Shehzaad Zuzar Dhuliawala, Mrinmaya Sachan, Carl Allen
Variational Classification: A Probabilistic Generalization of the Softmax Classifier. Trans. Mach. Learn. Res. 2024 (2024)
Zhijing Jin, Sydney Levine, Max Kleiman-Weiner, Giorgio Piatti, Jiarui Liu, Fernando Gonzalez Adauto, Francesco Ortu, András Strausz, Mrinmaya Sachan, Rada Mihalcea, Yejin Choi, Bernhard Schölkopf
Multilingual Trolley Problems for Language Models. CoRR (2024)
Giorgio Piatti, Zhijing Jin, Max Kleiman-Weiner, Bernhard Schölkopf, Mrinmaya Sachan, Rada Mihalcea
Cooperate or Collapse: Emergence of Sustainability Behaviors in a Society of LLM Agents. CoRR (2024)
Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ramakanth Pasunuru, Mrinmaya Sachan, Jason Weston, Asli Celikyilmaz
The ART of LLM Refinement: Ask, Refine, and Trust. NAACL-HLT (2024)
Jiaoda Li, Jennifer C. White, Mrinmaya Sachan, Ryan Cotterell
A Transformer with Stack Attention. CoRR (2024)
Junling Wang, Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Mrinmaya Sachan
Book2Dial: Generating Teacher-Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots. CoRR (2024)
Zhiheng Lyu, Zhijing Jin, Fernando Gonzalez, Rada Mihalcea, Bernhard Schölkopf, Mrinmaya Sachan
On the Causal Nature of Sentiment Analysis. CoRR (2024)
Robin Chan, Reda Boumasmoud, Anej Svete, Yuxin Ren, Qipeng Guo, Zhijing Jin, Shauli Ravfogel, Mrinmaya Sachan, Bernhard Schölkopf, Mennatallah El-Assady, Ryan Cotterell
On Affine Homotopy between Language Encoders. CoRR (2024)
Tom Kocmi, Vilém Zouhar, Eleftherios Avramidis, Roman Grundkiewicz, Marzena Karpinska, Maja Popovic, Mrinmaya Sachan, Mariya Shmatova
Error Span Annotation: A Balanced Approach for Human Evaluation of Machine Translation. CoRR (2024)
Furui Cheng, Vilém Zouhar, Simran Arora, Mrinmaya Sachan, Hendrik Strobelt, Mennatallah El-Assady
RELIC: Investigating Large Language Model Responses using Self-Consistency. CHI (2024)
Peng Cui, Vilém Zouhar, Xiaoyu Zhang, Mrinmaya Sachan
How to Engage Your Readers? Generating Guiding Questions to Promote Active Reading. CoRR (2024)
Vilém Zouhar, Tom Kocmi, Mrinmaya Sachan
AI-Assisted Human Evaluation of Machine Translation. CoRR (2024)
Jingwei Ni, Minjing Shi, Dominik Stammbach, Mrinmaya Sachan, Elliott Ash, Markus Leippold
AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators. ACL (1) (2024)
Jingwei Ni, Tobias Schimanski, Meihong Lin, Mrinmaya Sachan, Elliott Ash, Markus Leippold
DIRAS: Efficient LLM-Assisted Annotation of Document Relevance in Retrieval Augmented Generation. CoRR (2024)
Vilém Zouhar, Kalvin Chang, Chenxuan Cui, Nate B. Carlson, Nathaniel Romney Robinson, Mrinmaya Sachan, David R. Mortensen
PWESuite: Phonetic Word Embeddings and Tasks They Facilitate. LREC/COLING (2024)
Sankalan Pal Chowdhury, Vilém Zouhar, Mrinmaya Sachan
AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails. L@S (2024)
Francesco Ortu, Zhijing Jin, Diego Doimo, Mrinmaya Sachan, Alberto Cazzaniga, Bernhard Schölkopf
Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals. ACL (1) (2024)
Francesco Ortu, Zhijing Jin, Diego Doimo, Mrinmaya Sachan, Alberto Cazzaniga, Bernhard Schölkopf
Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals. CoRR (2024)
Nico Daheim, Nouha Dziri, Mrinmaya Sachan, Iryna Gurevych, Edoardo M. Ponti
Elastic Weight Removal for Faithful and Abstractive Dialogue Generation. NAACL-HLT (2024)
Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona T. Diab, Bernhard Schölkopf
Can Large Language Models Infer Causation from Correlation? ICLR (2024)
Andreas Opedal, Alessandro Stolfo, Haruki Shirakami, Ying Jiao, Ryan Cotterell, Bernhard Schölkopf, Abulhair Saparov, Mrinmaya Sachan
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners? CoRR (2024)
Peng Cui, Vilém Zouhar, Xiaoyu Zhang, Mrinmaya Sachan
How to Engage your Readers? Generating Guiding Questions to Promote Active Reading. ACL (1) (2024)
Nico Daheim, Jakub Macina, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors. CoRR (2024)
Jingwei Ni, Minjing Shi, Dominik Stammbach, Mrinmaya Sachan, Elliott Ash, Markus Leippold
AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators. CoRR (2024)
Junling Wang, Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Mrinmaya Sachan
Book2Dial: Generating Teacher Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots. ACL (Findings) (2024)
Xiaoyu Zhang, Jorge Henrique Piazentin Ono, Wenbin He, Liang Gou, Mrinmaya Sachan, Kwan-Liu Ma, Liu Ren
Slicing, Chatting, and Refining: A Concept-Based Approach for Machine Learning Model Validation with ConceptSlicer. IUI (2024)
Abhinav Lalwani, Lovish Chopra, Christopher Hahn, Caroline Trippel, Zhijing Jin, Mrinmaya Sachan
NL2FOL: Translating Natural Language to First-Order Logic for Logical Fallacy Detection. CoRR (2024)
Zhijing Jin, Nils Heil, Jiarui Liu, Shehzaad Dhuliawala, Yahang Qi, Bernhard Schölkopf, Rada Mihalcea, Mrinmaya Sachan
Implicit Personalization in Language Models: A Systematic Study. CoRR (2024)
Alessandro Stolfo, Ben Wu, Wes Gurnee, Yonatan Belinkov, Xingyi Song, Mrinmaya Sachan, Neel Nanda
Confidence Regulation Neurons in Language Models. CoRR (2024)
Sankalan Pal Chowdhury, Vilém Zouhar, Mrinmaya Sachan
Scaling the Authoring of AutoTutors with Large Language Models. CoRR (2024)
Saüc Abadal Lloret, Shehzaad Dhuliawala, Keerthiram Murugesan, Mrinmaya Sachan
Towards Aligning Language Models with Textual Feedback. CoRR (2024)
Jiaoda Li, Yifan Hou, Mrinmaya Sachan, Ryan Cotterell
What Do Language Models Learn in Context? The Structured Task Hypothesis. ACL (1) (2024)
Qing Lyu, Kumar Shridhar, Chaitanya Malaviya, Li Zhang, Yanai Elazar, Niket Tandon, Marianna Apidianaki, Mrinmaya Sachan, Chris Callison-Burch
Calibrating Large Language Models with Sample Consistency. CoRR (2024)
Roberto Ceraolo, Dmitrii Kharlapenko, Amélie Reymond, Rada Mihalcea, Mrinmaya Sachan, Bernhard Schölkopf, Zhijing Jin
CausalQuest: Collecting Natural Causal Questions for AI Agents. CoRR (2024)
Fernando Gonzalez, Zhijing Jin, Bernhard Schölkopf, Tom Hope, Mrinmaya Sachan, Rada Mihalcea
Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good. CoRR (2023)
Nico Daheim, Nouha Dziri, Mrinmaya Sachan, Iryna Gurevych, Edoardo M. Ponti
Elastic Weight Removal for Faithful and Abstractive Dialogue Generation. CoRR (2023)
Yuxin Ren, Qipeng Guo, Zhijing Jin, Shauli Ravfogel, Mrinmaya Sachan, Bernhard Schölkopf, Ryan Cotterell
All Roads Lead to Rome? Exploring the Invariance of Transformers' Representations. CoRR (2023)
Dominik Stammbach, Vilém Zouhar, Alexander Hoyle, Mrinmaya Sachan, Elliott Ash
Revisiting Automated Topic Model Evaluation with Large Language Models. EMNLP (2023)
Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, Bernhard Schölkopf, Mrinmaya Sachan, Taylor Berg-Kirkpatrick
Membership Inference Attacks against Language Models via Neighbourhood Comparison. ACL (Findings) (2023)
Yifan Hou, Jiaoda Li, Yu Fei, Alessandro Stolfo, Wangchunshu Zhou, Guangtao Zeng, Antoine Bosselut, Mrinmaya Sachan
Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models. EMNLP (2023)
Yifan Hou, Jiaoda Li, Yu Fei, Alessandro Stolfo, Wangchunshu Zhou, Guangtao Zeng, Antoine Bosselut, Mrinmaya Sachan
Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models. CoRR (2023)
David F. Jenny, Yann Billeter, Mrinmaya Sachan, Bernhard Schölkopf, Zhijing Jin
Navigating the Ocean of Biases: Political Bias Attribution in Language Models via Causal Structures. CoRR (2023)
Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Mrinmaya Sachan, Ryan Cotterell
Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels. ACL (1) (2023)
Alessandro Stolfo, Zhijing Jin, Kumar Shridhar, Bernhard Schölkopf, Mrinmaya Sachan
A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models. ACL (1) (2023)
Vilém Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Mrinmaya Sachan, Ryan Cotterell
Tokenization and the Noiseless Channel. ACL (1) (2023)
Tianyu Liu, Afra Amini, Mrinmaya Sachan, Ryan Cotterell
Learning the String Partial Order. CoRR (2023)
Jakub Macina, Nico Daheim, Lingzhi Wang, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan
Opportunities and Challenges in Neural Dialog Tutoring. EACL (2023)
Vilém Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Mrinmaya Sachan, Ryan Cotterell
Tokenization and the Noiseless Channel. CoRR (2023)
Dominik Stammbach, Vilém Zouhar, Alexander Hoyle, Mrinmaya Sachan, Elliott Ash
Re-visiting Automated Topic Model Evaluation with Large Language Models. CoRR (2023)
Vilém Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Tim Vieira, Mrinmaya Sachan, Ryan Cotterell
A Formal Perspective on Byte-Pair Encoding. CoRR (2023)
Fernando Gonzalez Adauto, Zhijing Jin, Bernhard Schölkopf, Tom Hope, Mrinmaya Sachan, Rada Mihalcea
Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good. EMNLP (Findings) (2023)
Lingzhi Wang, Mrinmaya Sachan, Xingshan Zeng, Kam-Fai Wong
Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillation. CoRR (2023)
Jingwei Ni, Zhijing Jin, Qian Wang, Mrinmaya Sachan, Markus Leippold
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP. CoRR (2023)
Furui Cheng, Vilém Zouhar, Simran Arora, Mrinmaya Sachan, Hendrik Strobelt, Mennatallah El-Assady
RELIC: Investigating Large Language Model Responses using Self-Consistency. CoRR (2023)
Kumar Shridhar, Nicholas Monath, Raghuveer Thirukovalluru, Alessandro Stolfo, Manzil Zaheer, Andrew McCallum, Mrinmaya Sachan
Longtonotes: OntoNotes with Longer Coreference Chains. EACL (Findings) (2023)
Mattia Atzeni, Mrinmaya Sachan, Andreas Loukas
Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning. CoRR (2023)
Shehzaad Dhuliawala, Vilém Zouhar, Mennatallah El-Assady, Mrinmaya Sachan
A Diachronic Perspective on User Trust in AI under Uncertainty. CoRR (2023)
Lingzhi Wang, Mrinmaya Sachan, Xingshan Zeng, Kam-Fai Wong
Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillation. EACL (Findings) (2023)
Jingwei Ni, Zhijing Jin, Qian Wang, Mrinmaya Sachan, Markus Leippold
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP. ACL (1) (2023)
Alessandro Stolfo, Yonatan Belinkov, Mrinmaya Sachan
A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis. EMNLP (2023)
Wangchunshu Zhou, Yuchen Eleanor Jiang, Peng Cui, Tiannan Wang, Zhenxin Xiao, Yifan Hou, Ryan Cotterell, Mrinmaya Sachan
RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text. CoRR (2023)
Janvijay Singh, Vilém Zouhar, Mrinmaya Sachan
Enhancing Textbooks with Visuals from the Web for Improved Learning. EMNLP (2023)
Zhijing Jin, Yuen Chen, Felix Leeb, Luigi Gresele, Ojasv Kamal, Zhiheng Lyu, Kevin Blin, Fernando Gonzalez Adauto, Max Kleiman-Weiner, Mrinmaya Sachan, Bernhard Schölkopf
CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models. CoRR (2023)
Vilém Zouhar, Kalvin Chang, Chenxuan Cui, Nathaniel Carlson, Nathaniel Robinson, Mrinmaya Sachan, David R. Mortensen
PWESuite: Phonetic Word Embeddings and Tasks They Facilitate. CoRR (2023)
Ying Jiao, Kumar Shridhar, Peng Cui, Wangchunshu Zhou, Mrinmaya Sachan
Automatic Educational Question Generation with Difficulty Level Controls. AIED (2023)
Andreas Opedal, Niklas Stoehr, Abulhair Saparov, Mrinmaya Sachan
World Models for Math Story Problems. CoRR (2023)
Kumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan
Distilling Reasoning Capabilities into Smaller Language Models. ACL (Findings) (2023)
Vilém Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Tim Vieira, Mrinmaya Sachan, Ryan Cotterell
A Formal Perspective on Byte-Pair Encoding. ACL (Findings) (2023)
Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ram Pasunuru, Mrinmaya Sachan, Jason Weston, Asli Celikyilmaz
The ART of LLM Refinement: Ask, Refine, and Trust. CoRR (2023)
Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona T. Diab, Bernhard Schölkopf
Can Large Language Models Infer Causation from Correlation? CoRR (2023)
Zeming Liu, Ping Nie, Jie Cai, Haifeng Wang, Zheng-Yu Niu, Peng Zhang, Mrinmaya Sachan, Kaiping Peng
XDailyDialog: A Multilingual Parallel Dialogue Corpus. ACL (1) (2023)
Ishan Kumar, Zhijing Jin, Ehsan Mokhtarian, Siyuan Guo, Yuen Chen, Negar Kiyavash, Mrinmaya Sachan, Bernhard Schölkopf
CausalCite: A Causal Formulation of Paper Citations. CoRR (2023)
Vilém Zouhar, Shehzaad Dhuliawala, Wangchunshu Zhou, Nico Daheim, Tom Kocmi, Yuchen Eleanor Jiang, Mrinmaya Sachan
Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference. EACL (2023)
Jakub Macina, Nico Daheim, Lingzhi Wang, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan
Opportunities and Challenges in Neural Dialog Tutoring. CoRR (2023)
Ruida Wang, Wangchunshu Zhou, Mrinmaya Sachan
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models. CoRR (2023)
Janvijay Singh, Vilém Zouhar, Mrinmaya Sachan
Enhancing Textbooks with Visuals from the Web for Improved Learning. CoRR (2023)
Peng Cui, Mrinmaya Sachan
Adaptive and Personalized Exercise Generation for Online Language Learning. CoRR (2023)
Wangchunshu Zhou, Yuchen Eleanor Jiang, Ethan Wilcox, Ryan Cotterell, Mrinmaya Sachan
Controlled Text Generation with Natural Language Instructions. CoRR (2023)
Vilém Zouhar, Shehzaad Dhuliawala, Wangchunshu Zhou, Nico Daheim, Tom Kocmi, Yuchen Eleanor Jiang, Mrinmaya Sachan
Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference. CoRR (2023)
Wangchunshu Zhou, Yuchen Eleanor Jiang, Ryan Cotterell, Mrinmaya Sachan
Efficient Prompting via Dynamic In-Context Learning. CoRR (2023)
Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan
MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems. EMNLP (Findings) (2023)
Wangchunshu Zhou, Yuchen Eleanor Jiang, Ethan Wilcox, Ryan Cotterell, Mrinmaya Sachan
Controlled Text Generation with Natural Language Instructions. ICML (2023)
Wangchunshu Zhou, Yuchen Eleanor Jiang, Long Li, Jialong Wu, Tiannan Wang, Shi Qiu, Jintian Zhang, Jing Chen, Ruipu Wu, Shuai Wang, Shiding Zhu, Jiyu Chen, Wentao Zhang, Ningyu Zhang, Huajun Chen, Peng Cui, Mrinmaya Sachan
Agents: An Open-source Framework for Autonomous Language Agents. CoRR (2023)
Peng Cui, Mrinmaya Sachan
Adaptive and Personalized Exercise Generation for Online Language Learning. ACL (1) (2023)
Shehzaad Dhuliawala, Mrinmaya Sachan, Carl Allen
Variational Classification. CoRR (2023)
Alessandro Stolfo, Yonatan Belinkov, Mrinmaya Sachan
Understanding Arithmetic Reasoning in Language Models using Causal Mediation Analysis. CoRR (2023)
Zhiheng Lyu, Zhijing Jin, Justus Mattern, Rada Mihalcea, Mrinmaya Sachan, Bernhard Schölkopf
Psychologically-Inspired Causal Prompts. CoRR (2023)
Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, Bernhard Schölkopf, Mrinmaya Sachan, Taylor Berg-Kirkpatrick
Membership Inference Attacks against Language Models via Neighbourhood Comparison. CoRR (2023)
Andreas Opedal, Niklas Stoehr, Abulhair Saparov, Mrinmaya Sachan
World Models for Math Story Problems. ACL (Findings) (2023)
Zhijing Jin, Yuen Chen, Felix Leeb, Luigi Gresele, Ojasv Kamal, Zhiheng Lyu, Kevin Blin, Fernando Gonzalez Adauto, Max Kleiman-Weiner, Mrinmaya Sachan, Bernhard Schölkopf
CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models. NeurIPS (2023)
Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Mrinmaya Sachan, Ryan Cotterell
Discourse Centric Evaluation of Machine Translation with a Densely Annotated Parallel Corpus. CoRR (2023)
Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan
MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems. CoRR (2023)
Mattia Atzeni, Mrinmaya Sachan, Andreas Loukas
Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning. ICML (2023)
Shehzaad Dhuliawala, Vilém Zouhar, Mennatallah El-Assady, Mrinmaya Sachan
A Diachronic Perspective on User Trust in AI under Uncertainty. EMNLP (2023)
Tianyu Liu, Afra Amini, Mrinmaya Sachan, Ryan Cotterell
Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective. EMNLP (2023)
Ruida Wang, Wangchunshu Zhou, Mrinmaya Sachan
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models. EMNLP (Findings) (2023)
Kumar Shridhar, Jakub Macina, Mennatallah El-Assady, Tanmay Sinha, Manu Kapur, Mrinmaya Sachan
Automatic Generation of Socratic Subquestions for Teaching Math Word Problems. CoRR (2022)
Zhijing Jin, Sydney Levine, Fernando Gonzalez, Ojasv Kamal, Maarten Sap, Mrinmaya Sachan, Rada Mihalcea, Josh Tenenbaum, Bernhard Schölkopf
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment. CoRR (2022)

Mrinmaya Sachan.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Mrinmaya Sachan