Mrinmaya Sachan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
123
Venues
18
Active years
2011–2026
Best venue rank
A*
Where they publish
Papers
123 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Faithfulness-Aware Uncertainty Quantification for Fact-Checking the Output of Retrieval-Augmented Generation. | Ekaterina Fadeeva, Aleksandr Rubashevskii, Dzianis Piatrashyn, Roman Vashurin, Shehzaad Dhuliawala, Artem Shelmanov, Timothy Baldwin, Preslav Nakov, Mrinmaya Sachan, Maxim Panov |
| 2026 | ACL | PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers in Overleaf. | Jiarui Liu, Terry Jingchen Zhang, Ryan Faulkner, Xuanqiang Angelo Huang, Vilm 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 Schlkopf, Mona T. Diab, Zhijing Jin |
| 2026 | ACL | Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models. | Jingwei Ni, Ekaterina Fadeeva, Tianyi Wu, Mubashara Akhtar, Jiaheng Zhang, Elliott Ash, Markus Leippold, Timothy Baldwin, See-Kiong Ng, Artem Shelmanov, Mrinmaya Sachan |
| 2026 | ACL | Tackling the Root of Misinformation by Teaching Laypeople about Logical Fallacies via Socratic Questioning and Critical Argumentation. | Minjing Shi, Junling Wang, Jingwei Ni, Sankalan Pal Chowdhury, Mrinmaya Sachan |
| 2026 | ACL | ThinkBooster: A Unified Framework for Seamless Test-Time Scaling of LLM Reasoning. | 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 |
| 2026 | ACL | Test of Time: Rethinking Temporal Signal of Benchmark Contamination. | Terry Jingchen Zhang, Gopal Dev, Ning Wang, Max Obreiter, Wenyuan Jiang, Punya Syon Pandey, Keenan Samway, Yinya Huang, Bernhard Schlkopf, Mrinmaya Sachan, Zhijing Jin |
| 2026 | AIED | Misconception Acquisition Dynamics in Large Language Models. | Naiming Liu, Xinghe Chen, Richard G. Baraniuk, Mrinmaya Sachan, Shashank Sonkar |
| 2026 | EACL | Uncovering Hidden Correctness in LLM Causal Reasoning via Symbolic Verification. | Paul He, Yinya Huang, Mrinmaya Sachan, Zhijing Jin |
| 2026 | EACL | Can Reasoning Help Large Language Models Capture Human Annotator Disagreement? | Jingwei Ni, Yu Fan, Vilm Zouhar, Donya Rooein, Alexander Miserlis Hoyle, Mrinmaya Sachan, Markus Leippold, Dirk Hovy, Elliott Ash |
| 2026 | EACL | PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors. | Donya Rooein, Sankalan Pal Chowdhury, Mariia Eremeeva, Yuan Qin, Debora Nozza, Mrinmaya Sachan, Dirk Hovy |
| 2026 | EACL | Early-Exit and Instant Confidence Translation Quality Estimation. | Vilm Zouhar, Maike Zfle, Beni Egressy, Julius Cheng, Mrinmaya Sachan, Jan Niehues |
| 2025 | AAAI | Calibrating Large Language Models with Sample Consistency. | Qing Lyu, Kumar Shridhar, Chaitanya Malaviya, Li Zhang, Yanai Elazar, Niket Tandon, Marianna Apidianaki, Mrinmaya Sachan, Chris Callison-Burch |
| 2025 | ACL | SIKeD: Self-guided Iterative Knowledge Distillation for Mathematical Reasoning. | Shivam Adarsh, Kumar Shridhar, Caglar Gulcehre, Nicholas Monath, Mrinmaya Sachan |
| 2025 | ACL | Towards the Pedagogical Steering of Large Language Models for Tutoring: A Case Study with Modeling Productive Failure. | Romain Puech, Jakub Macina, Julia Chatain, Mrinmaya Sachan, Manu Kapur |
| 2025 | ACL | GPT-4 as a Homework Tutor Can Improve Student Engagement and Learning Outcomes. | Alessandro Vanzo, Sankalan Pal Chowdhury, Mrinmaya Sachan |
| 2025 | ACL | Generating Pedagogically Meaningful Visuals for Math Word Problems: A New Benchmark and Analysis of Text-to-Image Models. | Junling Wang, Anna Rutkiewicz, April Yi Wang, Mrinmaya Sachan |
| 2025 | EMNLP | Can Vision-Language Models Solve Visual Math Equations? | Monjoy Narayan Choudhury, Junling Wang, Yifan Hou, Mrinmaya Sachan |
| 2025 | EMNLP | From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning. | David Dinucu-Jianu, Jakub Macina, Nico Daheim, Ido Hakimi, Iryna Gurevych, Mrinmaya Sachan |
| 2025 | EMNLP | The Medium Is Not the Message: Deconfounding Document Embeddings via Linear Concept Erasure. | Yu Fan, Yang Tian, Shauli Ravfogel, Mrinmaya Sachan, Elliott Ash, Alexander Miserlis Hoyle |
| 2025 | EMNLP | MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors. | Jakub Macina, Nico Daheim, Ido Hakimi, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan |
| 2025 | EMNLP | A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs. | Artem Shelmanov, Ekaterina Fadeeva, Akim Tsvigun, Ivan Tsvigun, Zhuohan Xie, Igor Kiselev, Nico Daheim, Caiqi Zhang, Artem Vazhentsev, Mrinmaya Sachan, Preslav Nakov, Timothy Baldwin |
| 2025 | EMNLP | Improving Large Language Model Safety with Contrastive Representation Learning. | Samuel Simko, Mrinmaya Sachan, Bernhard Schlkopf, Zhijing Jin |
| 2025 | EMNLP | Probing for Arithmetic Errors in Language Models. | Yucheng Sun, Alessandro Stolfo, Mrinmaya Sachan |
| 2025 | EMNLP | Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification. | Chenfei Xiong, Jingwei Ni, Yu Fan, Vilm Zouhar, Donya Rooein, Lorena Calvo-Bartolom, Alexander Miserlis Hoyle, Zhijing Jin, Mrinmaya Sachan, Markus Leippold, Dirk Hovy, Mennatallah El-Assady, Elliott Ash |
| 2025 | ICLR | Language Model Alignment in Multilingual Trolley Problems. | Zhijing Jin, Max Kleiman-Weiner, Giorgio Piatti, Sydney Levine, Jiarui Liu, Fernando Gonzalez Adauto, Francesco Ortu, Andrs Strausz, Mrinmaya Sachan, Rada Mihalcea, Yejin Choi, Bernhard Schlkopf |
| 2025 | ICLR | MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs. | Andreas Opedal, Haruki Shirakami, Bernhard Schlkopf, Abulhair Saparov, Mrinmaya Sachan |
| 2025 | ICML | Do Vision-Language Models Really Understand Visual Language? | Yifan Hou, Buse Giledereli, Yilei Tu, Mrinmaya Sachan |
| 2025 | IJCNLP | Quriosity: Analyzing Human Questioning Behavior and Causal Inquiry through Curiosity-Driven Queries. | Roberto Ceraolo, Dmitrii Kharlapenko, Ahmad Khan, Amlie Reymond, Rada Mihalcea, Bernhard Schlkopf, Mrinmaya Sachan, Zhijing Jin |
| 2025 | IJCNLP | Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy Detection. | Abhinav Lalwani, Tasha Kim, Lovish Chopra, Christopher Hahn, Zhijing Jin, Mrinmaya Sachan |
| 2025 | NAACL | Investigating the Zone of Proximal Development of Language Models for In-Context Learning. | Peng Cui, Mrinmaya Sachan |
| 2025 | NAACL | Grammar Control in Dialogue Response Generation for Language Learning Chatbots. | Dominik Glandorf, Peng Cui, Detmar Meurers, Mrinmaya Sachan |
| 2025 | NAACL | Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation. | Tianyu Liu, Jirui Qi, Paul He, Arianna Bisazza, Mrinmaya Sachan, Ryan Cotterell |
| 2025 | NAACL | DIRAS: Efficient LLM Annotation of Document Relevance for Retrieval Augmented Generation. | Jingwei Ni, Tobias Schimanski, Meihong Lin, Mrinmaya Sachan, Elliott Ash, Markus Leippold |
| 2025 | NAACL | AI-Assisted Human Evaluation of Machine Translation. | Vilm Zouhar, Tom Kocmi, Mrinmaya Sachan |
| 2024 | ACL | CausalCite: A Causal Formulation of Paper Citations. | Ishan Kumar, Zhijing Jin, Ehsan Mokhtarian, Siyuan Guo, Yuen Chen, Negar Kiyavash, Mrinmaya Sachan, Bernhard Schlkopf |
| 2024 | ACL | How to Engage your Readers? Generating Guiding Questions to Promote Active Reading. | Peng Cui, Vilm Zouhar, Xiaoyu Zhang, Mrinmaya Sachan |
| 2024 | ACL | What Do Language Models Learn in Context? The Structured Task Hypothesis. | Jiaoda Li, Yifan Hou, Mrinmaya Sachan, Ryan Cotterell |
| 2024 | ACL | AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators. | Jingwei Ni, Minjing Shi, Dominik Stammbach, Mrinmaya Sachan, Elliott Ash, Markus Leippold |
| 2024 | ACL | Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals. | Francesco Ortu, Zhijing Jin, Diego Doimo, Mrinmaya Sachan, Alberto Cazzaniga, Bernhard Schlkopf |
| 2024 | ACL | Book2Dial: Generating Teacher Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots. | Junling Wang, Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Mrinmaya Sachan |
| 2024 | CHI | RELIC: Investigating Large Language Model Responses using Self-Consistency. | Furui Cheng, Vilm Zouhar, Simran Arora, Mrinmaya Sachan, Hendrik Strobelt, Mennatallah El-Assady |
| 2024 | COLING | PWESuite: Phonetic Word Embeddings and Tasks They Facilitate. | Vilm Zouhar, Kalvin Chang, Chenxuan Cui, Nate B. Carlson, Nathaniel Romney Robinson, Mrinmaya Sachan, David R. Mortensen |
| 2024 | ECAI | RETRO-LI: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization. | Gentiana Rashiti, Geethan Karunaratne, Mrinmaya Sachan, Abu Sebastian, Abbas Rahimi |
| 2024 | EMNLP | Implicit Personalization in Language Models: A Systematic Study. | Zhijing Jin, Nils Heil, Jiarui Liu, Shehzaad Dhuliawala, Yahang Qi, Bernhard Schlkopf, Rada Mihalcea, Mrinmaya Sachan |
| 2024 | EMNLP | Efficiently Computing Susceptibility to Context in Language Models. | Tianyu Liu, Kevin Du, Mrinmaya Sachan, Ryan Cotterell |
| 2024 | EMNLP | Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors. | Nico Daheim, Jakub Macina, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan |
| 2024 | EMNLP | Towards Aligning Language Models with Textual Feedback. | Sac Abadal Lloret, Shehzaad Dhuliawala, Keerthiram Murugesan, Mrinmaya Sachan |
| 2024 | EMNLP | Do LLMs Think Fast and Slow? A Causal Study on Sentiment Analysis. | Zhiheng Lyu, Zhijing Jin, Fernando Gonzalez Adauto, Rada Mihalcea, Bernhard Schlkopf, Mrinmaya Sachan |
| 2024 | ICLR | Can Large Language Models Infer Causation from Correlation? | Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona T. Diab, Bernhard Schlkopf |
| 2024 | ICML | Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners? | Andreas Opedal, Alessandro Stolfo, Haruki Shirakami, Ying Jiao, Ryan Cotterell, Bernhard Schlkopf, Abulhair Saparov, Mrinmaya Sachan |
| 2024 | IUI | Slicing, Chatting, and Refining: A Concept-Based Approach for Machine Learning Model Validation with ConceptSlicer. | Xiaoyu Zhang, Jorge Henrique Piazentin Ono, Wenbin He, Liang Gou, Mrinmaya Sachan, Kwan-Liu Ma, Liu Ren |
| 2024 | NAACL | Elastic Weight Removal for Faithful and Abstractive Dialogue Generation. | Nico Daheim, Nouha Dziri, Mrinmaya Sachan, Iryna Gurevych, Edoardo M. Ponti |
| 2024 | NAACL | A Transformer with Stack Attention. | Jiaoda Li, Jennifer C. White, Mrinmaya Sachan, Ryan Cotterell |
| 2024 | NAACL | The ART of LLM Refinement: Ask, Refine, and Trust. | Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ramakanth Pasunuru, Mrinmaya Sachan, Jason Weston, Asli Celikyilmaz |
| 2023 | ACL | Adaptive and Personalized Exercise Generation for Online Language Learning. | Peng Cui, Mrinmaya Sachan |
| 2023 | ACL | Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels. | Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Mrinmaya Sachan, Ryan Cotterell |
| 2023 | ACL | XDailyDialog: A Multilingual Parallel Dialogue Corpus. | Zeming Liu, Ping Nie, Jie Cai, Haifeng Wang, Zheng-Yu Niu, Peng Zhang, Mrinmaya Sachan, Kaiping Peng |
| 2023 | ACL | Membership Inference Attacks against Language Models via Neighbourhood Comparison. | Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, Bernhard Schlkopf, Mrinmaya Sachan, Taylor Berg-Kirkpatrick |
| 2023 | ACL | When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP. | Jingwei Ni, Zhijing Jin, Qian Wang, Mrinmaya Sachan, Markus Leippold |
| 2023 | ACL | World Models for Math Story Problems. | Andreas Opedal, Niklas Stoehr, Abulhair Saparov, Mrinmaya Sachan |
| 2023 | ACL | Distilling Reasoning Capabilities into Smaller Language Models. | Kumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan |
| 2023 | ACL | A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models. | Alessandro Stolfo, Zhijing Jin, Kumar Shridhar, Bernhard Schlkopf, Mrinmaya Sachan |
| 2023 | ACL | Tokenization and the Noiseless Channel. | Vilm Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Mrinmaya Sachan, Ryan Cotterell |
| 2023 | ACL | A Formal Perspective on Byte-Pair Encoding. | Vilm Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Tim Vieira, Mrinmaya Sachan, Ryan Cotterell |
| 2023 | AIED | Automatic Educational Question Generation with Difficulty Level Controls. | Ying Jiao, Kumar Shridhar, Peng Cui, Wangchunshu Zhou, Mrinmaya Sachan |
| 2023 | EACL | Opportunities and Challenges in Neural Dialog Tutoring. | Jakub Macina, Nico Daheim, Lingzhi Wang, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan |
| 2023 | EACL | Longtonotes: OntoNotes with Longer Coreference Chains. | Kumar Shridhar, Nicholas Monath, Raghuveer Thirukovalluru, Alessandro Stolfo, Manzil Zaheer, Andrew McCallum, Mrinmaya Sachan |
| 2023 | EACL | Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillation. | Lingzhi Wang, Mrinmaya Sachan, Xingshan Zeng, Kam-Fai Wong |
| 2023 | EACL | Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference. | Vilm Zouhar, Shehzaad Dhuliawala, Wangchunshu Zhou, Nico Daheim, Tom Kocmi, Yuchen Eleanor Jiang, Mrinmaya Sachan |
| 2023 | EMNLP | Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective. | Tianyu Liu, Afra Amini, Mrinmaya Sachan, Ryan Cotterell |
| 2023 | EMNLP | Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good. | Fernando Gonzalez Adauto, Zhijing Jin, Bernhard Schlkopf, Tom Hope, Mrinmaya Sachan, Rada Mihalcea |
| 2023 | EMNLP | A Diachronic Perspective on User Trust in AI under Uncertainty. | Shehzaad Dhuliawala, Vilm Zouhar, Mennatallah El-Assady, Mrinmaya Sachan |
| 2023 | EMNLP | Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models. | Yifan Hou, Jiaoda Li, Yu Fei, Alessandro Stolfo, Wangchunshu Zhou, Guangtao Zeng, Antoine Bosselut, Mrinmaya Sachan |
| 2023 | EMNLP | MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems. | Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan |
| 2023 | EMNLP | Enhancing Textbooks with Visuals from the Web for Improved Learning. | Janvijay Singh, Vilm Zouhar, Mrinmaya Sachan |
| 2023 | EMNLP | Revisiting Automated Topic Model Evaluation with Large Language Models. | Dominik Stammbach, Vilm Zouhar, Alexander Miserlis Hoyle, Mrinmaya Sachan, Elliott Ash |
| 2023 | EMNLP | A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis. | Alessandro Stolfo, Yonatan Belinkov, Mrinmaya Sachan |
| 2023 | EMNLP | Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models. | Ruida Wang, Wangchunshu Zhou, Mrinmaya Sachan |
| 2023 | ICML | Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning. | Mattia Atzeni, Mrinmaya Sachan, Andreas Loukas |
| 2023 | ICML | Controlled Text Generation with Natural Language Instructions. | Wangchunshu Zhou, Yuchen Eleanor Jiang, Ethan Wilcox, Ryan Cotterell, Mrinmaya Sachan |
| 2022 | AAAI | Deep Clustering of Text Representations for Supervision-Free Probing of Syntax. | Vikram Gupta, Haoyue Shi, Kevin Gimpel, Mrinmaya Sachan |
| 2022 | ACL | Calibration of Machine Reading Systems at Scale. | Shehzaad Dhuliawala, Leonard Adolphs, Rajarshi Das, Mrinmaya Sachan |
| 2022 | ACL | Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang. | Daphna Keidar, Andreas Opedal, Zhijing Jin, Mrinmaya Sachan |
| 2022 | EMNLP | Beyond prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations. | Yu Fei, Zhao Meng, Ping Nie, Roger Wattenhofer, Mrinmaya Sachan |
| 2022 | EMNLP | What Has Been Enhanced in my Knowledge-Enhanced Language Model? | Yifan Hou, Guoji Fu, Mrinmaya Sachan |
| 2022 | EMNLP | Adapters for Enhanced Modeling of Multilingual Knowledge and Text. | Yifan Hou, Wenxiang Jiao, Meizhen Liu, Carl Allen, Zhaopeng Tu, Mrinmaya Sachan |
| 2022 | EMNLP | Logical Fallacy Detection. | Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya, Xiaoyu Shen, Yiwen Ding, Zhiheng Lyu, Mrinmaya Sachan, Rada Mihalcea, Bernhard Schlkopf |
| 2022 | EMNLP | Autoregressive Structured Prediction with Language Models. | Tianyu Liu, Yuchen Eleanor Jiang, Nicholas Monath, Ryan Cotterell, Mrinmaya Sachan |
| 2022 | EMNLP | Differentially Private Language Models for Secure Data Sharing. | Justus Mattern, Zhijing Jin, Benjamin Weggenmann, Bernhard Schlkopf, Mrinmaya Sachan |
| 2022 | EMNLP | Automatic Generation of Socratic Subquestions for Teaching Math Word Problems. | Kumar Shridhar, Jakub Macina, Mennatallah El-Assady, Tanmay Sinha, Manu Kapur, Mrinmaya Sachan |
| 2022 | ICLR | Case-based reasoning for better generalization in textual reinforcement learning. | Mattia Atzeni, Shehzaad Zuzar Dhuliawala, Keerthiram Murugesan, Mrinmaya Sachan |
| 2022 | NAACL | BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation. | Yuchen Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Jian Yang, Haoyang Huang, Rico Sennrich, Ryan Cotterell, Mrinmaya Sachan, Ming Zhou |
| 2022 | NAACL | Probing via Prompting. | Jiaoda Li, Ryan Cotterell, Mrinmaya Sachan |
| 2022 | NAACL | A Structured Span Selector. | Tianyu Liu, Yuchen Eleanor Jiang, Ryan Cotterell, Mrinmaya Sachan |
| 2022 | NAACL | Self-Supervised Contrastive Learning with Adversarial Perturbations for Defending Word Substitution-based Attacks. | Zhao Meng, Yihan Dong, Mrinmaya Sachan, Roger Wattenhofer |
| 2022 | NAACL | Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance. | Jingwei Ni, Zhijing Jin, Markus Freitag, Mrinmaya Sachan, Bernhard Schlkopf |
| 2021 | AAAI | Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines. | Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel, Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell |
| 2021 | ACL | Bird's Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach. | Yifan Hou, Mrinmaya Sachan |
| 2021 | ACL | How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact. | Zhijing Jin, Geeticka Chauhan, Brian Tse, Mrinmaya Sachan, Rada Mihalcea |
| 2021 | ACL | Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations. | Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell |
| 2021 | ACL | Scaling Within Document Coreference to Long Texts. | Raghuveer Thirukovalluru, Nicholas Monath, Kumar Shridhar, Manzil Zaheer, Mrinmaya Sachan, Andrew McCallum |
| 2021 | EMNLP | "Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding. | Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan, Snigdha Chaturvedi |
| 2021 | EMNLP | Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP. | Zhijing Jin, Julius von Kgelgen, Jingwei Ni, Tejas Vaidhya, Ayush Kaushal, Mrinmaya Sachan, Bernhard Schlkopf |
| 2020 | ACL | Knowledge Graph Embedding Compression. | Mrinmaya Sachan |
| 2018 | EMNLP | Contextual Parameter Generation for Universal Neural Machine Translation. | Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, Tom M. Mitchell |
| 2018 | KDD | Parsing to Programs: A Framework for Situated QA. | Mrinmaya Sachan, Eric P. Xing |
| 2018 | NAACL | Self-Training for Jointly Learning to Ask and Answer Questions. | Mrinmaya Sachan, Eric P. Xing |
| 2017 | EMNLP | From Textbooks to Knowledge: A Case Study in Harvesting Axiomatic Knowledge from Textbooks to Solve Geometry Problems. | Mrinmaya Sachan, Avinava Dubey, Eric P. Xing |
| 2016 | ACL | Science Question Answering using Instructional Materials. | Mrinmaya Sachan, Kumar Avinava Dubey, Eric P. Xing |
| 2016 | ACL | Easy Questions First? A Case Study on Curriculum Learning for Question Answering. | Mrinmaya Sachan, Eric P. Xing |
| 2016 | ACL | Machine Comprehension using Rich Semantic Representations. | Mrinmaya Sachan, Eric P. Xing |
| 2016 | ACL | Learning Concept Taxonomies from Multi-modal Data. | Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric P. Xing |
| 2016 | IJCAI | Grounding Topic Models with Knowledge Bases. | Zhiting Hu, Gang Luo, Mrinmaya Sachan, Eric P. Xing, Zaiqing Nie |
| 2015 | ACL | Learning Answer-Entailing Structures for Machine Comprehension. | Mrinmaya Sachan, Kumar Avinava Dubey, Eric P. Xing, Matthew Richardson |
| 2015 | IJCAI | An Active Learning Approach to Coreference Resolution. | Mrinmaya Sachan, Eduard H. Hovy, Eric P. Xing |
| 2014 | WSDM | Spatial compactness meets topical consistency: jointly modeling links and content for community detection. | Mrinmaya Sachan, Avinava Dubey, Shashank Srivastava, Eric P. Xing, Eduard H. Hovy |
| 2013 | ACL | A Structured Distributional Semantic Model for Event Co-reference. | Kartik Goyal, Sujay Kumar Jauhar, Huiying Li, Mrinmaya Sachan, Shashank Srivastava, Eduard H. Hovy |
| 2013 | ACL | A Structured Distributional Semantic Model : Integrating Structure with Semantics. | Kartik Goyal, Sujay Kumar Jauhar, Huiying Li, Mrinmaya Sachan, Shashank Srivastava, Eduard H. Hovy |
| 2013 | WWW | Collective matrix factorization for co-clustering. | Mrinmaya Sachan, Shashank Srivastava |
| 2013 | WWW | Solving electrical networks to incorporate supervision in random walks. | Mrinmaya Sachan, Dirk Hovy, Eduard H. Hovy |
| 2012 | WWW | Using content and interactions for discovering communities in social networks. | Mrinmaya Sachan, Danish Contractor, Tanveer A. Faruquie, L. Venkata Subramaniam |
| 2011 | CIKM | Probabilistic model for discovering topic based communities in social networks. | Mrinmaya Sachan, Danish Contractor, Tanveer A. Faruquie, L. Venkata Subramaniam |
| 2011 | IJCNLP | Using Text Reviews for Product Entity Completion. | Mrinmaya Sachan, Tanveer A. Faruquie, L. Venkata Subramaniam, Mukesh K. Mohania |