Mrinmaya Sachan

According to our database, Mrinmaya Sachan authored at least 117 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

CoRR, 2024

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

CoRR, 2024

Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals.

Francesco Ortu, Zhijing Jin, Diego Doimo, Mrinmaya Sachan, Alberto Cazzaniga, Bernhard Schölkopf

CoRR, 2024

AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators.

Jingwei Ni, Minjing Shi, Dominik Stammbach, Mrinmaya Sachan, Elliott Ash, Markus Leippold

CoRR, 2024

Scaling the Authoring of AutoTutors with Large Language Models.

Sankalan Pal Chowdhury, Vilém Zouhar, Mrinmaya Sachan

CoRR, 2024

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 Schölkopf, Abulhair Saparov, Mrinmaya Sachan

CoRR, 2024

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

Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024

2023

RELIC: Investigating Large Language Model Responses using Self-Consistency.

Furui Cheng, Vilém Zouhar, Simran Arora, Mrinmaya Sachan, Hendrik Strobelt, Mennatallah El-Assady

CoRR, 2023

Navigating the Ocean of Biases: Political Bias Attribution in Language Models via Causal Structures.

David F. Jenny, Yann Billeter, Mrinmaya Sachan, Bernhard Schölkopf, Zhijing Jin

CoRR, 2023

The ART of LLM Refinement: Ask, Refine, and Trust.

Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ram Pasunuru, Mrinmaya Sachan, Jason Weston, Asli Celikyilmaz

CoRR, 2023

CausalCite: A Causal Formulation of Paper Citations.

Ishan Kumar, Zhijing Jin, Ehsan Mokhtarian, Siyuan Guo, Yuen Chen, Negar Kiyavash, Mrinmaya Sachan, Bernhard Schölkopf

CoRR, 2023

Agents: An Open-source Framework for Autonomous Language Agents.

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

CoRR, 2023

Can Large Language Models Infer Causation from Correlation?

Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona T. Diab, Bernhard Schölkopf

CoRR, 2023

Learning the String Partial Order.

Tianyu Liu, Afra Amini, Mrinmaya Sachan, Ryan Cotterell

CoRR, 2023

Understanding Arithmetic Reasoning in Language Models using Causal Mediation Analysis.

Alessandro Stolfo, Yonatan Belinkov, Mrinmaya Sachan

CoRR, 2023

All Roads Lead to Rome? Exploring the Invariance of Transformers' Representations.

Yuxin Ren, Qipeng Guo, Zhijing Jin, Shauli Ravfogel, Mrinmaya Sachan, Bernhard Schölkopf, Ryan Cotterell

CoRR, 2023

RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text.

Wangchunshu Zhou, Yuchen Eleanor Jiang, Peng Cui, Tiannan Wang, Zhenxin Xiao, Yifan Hou, Ryan Cotterell, Mrinmaya Sachan

CoRR, 2023

Re-visiting Automated Topic Model Evaluation with Large Language Models.

Dominik Stammbach, Vilém Zouhar, Alexander Miserlis Hoyle, Mrinmaya Sachan, Elliott Ash

CoRR, 2023

Efficient Prompting via Dynamic In-Context Learning.

Wangchunshu Zhou, Yuchen Eleanor Jiang, Ryan Cotterell, Mrinmaya Sachan

CoRR, 2023

Discourse Centric Evaluation of Machine Translation with a Densely Annotated Parallel Corpus.

Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Mrinmaya Sachan, Ryan Cotterell

CoRR, 2023

Variational Classification.

Shehzaad Dhuliawala, Mrinmaya Sachan, Carl Allen

CoRR, 2023

Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good.

Fernando Gonzalez, Zhijing Jin, Bernhard Schölkopf, Tom Hope, Mrinmaya Sachan, Rada Mihalcea

CoRR, 2023

Psychologically-Inspired Causal Prompts.

Zhiheng Lyu, Zhijing Jin, Justus Mattern, Rada Mihalcea, Mrinmaya Sachan, Bernhard Schölkopf

CoRR, 2023

PWESuite: Phonetic Word Embeddings and Tasks They Facilitate.

Vilém Zouhar, Kalvin Chang, Chenxuan Cui, Nathaniel Carlson, Nathaniel R. Robinson, Mrinmaya Sachan, David R. Mortensen

CoRR, 2023

Elastic Weight Removal for Faithful and Abstractive Dialogue Generation.

Nico Daheim, Nouha Dziri, Mrinmaya Sachan, Iryna Gurevych, Edoardo M. Ponti

CoRR, 2023

CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models.

Zhijing Jin, Yuen Chen, Felix Leeb, Luigi Gresele, Ojasv Kamal, Zhiheng Lyu, Kevin Blin, Fernando Gonzalez Adauto, Max Kleiman-Weiner, Mrinmaya Sachan, Bernhard Schölkopf

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Controlled Text Generation with Natural Language Instructions.

Wangchunshu Zhou, Yuchen Eleanor Jiang, Ethan Wilcox, Ryan Cotterell, Mrinmaya Sachan

Proceedings of the International Conference on Machine Learning, 2023

Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning.

Mattia Atzeni, Mrinmaya Sachan, Andreas Loukas

Proceedings of the International Conference on Machine Learning, 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis.

Alessandro Stolfo, Yonatan Belinkov, Mrinmaya Sachan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Revisiting Automated Topic Model Evaluation with Large Language Models.

Dominik Stammbach, Vilém Zouhar, Alexander Miserlis Hoyle, Mrinmaya Sachan, Elliott Ash

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Enhancing Textbooks with Visuals from the Web for Improved Learning.

Janvijay Singh, Vilém Zouhar, Mrinmaya Sachan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Diachronic Perspective on User Trust in AI under Uncertainty.

Shehzaad Dhuliawala, Vilém Zouhar, Mennatallah El-Assady, Mrinmaya Sachan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good.

Fernando Gonzalez Adauto, Zhijing Jin, Bernhard Schölkopf, Tom Hope, Mrinmaya Sachan, Rada Mihalcea

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective.

Tianyu Liu, Afra Amini, Mrinmaya Sachan, Ryan Cotterell

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference.

Vilém Zouhar, Shehzaad Dhuliawala, Wangchunshu Zhou, Nico Daheim, Tom Kocmi, Yuchen Eleanor Jiang, Mrinmaya Sachan

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillation.

Lingzhi Wang, Mrinmaya Sachan, Xingshan Zeng, Kam-Fai Wong

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Longtonotes: OntoNotes with Longer Coreference Chains.

Kumar Shridhar, Nicholas Monath, Raghuveer Thirukovalluru, Alessandro Stolfo, Manzil Zaheer, Andrew McCallum, Mrinmaya Sachan

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Opportunities and Challenges in Neural Dialog Tutoring.

Jakub Macina, Nico Daheim, Lingzhi Wang, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Automatic Educational Question Generation with Difficulty Level Controls.

Ying Jiao, Kumar Shridhar, Peng Cui, Wangchunshu Zhou, Mrinmaya Sachan

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

A Formal Perspective on Byte-Pair Encoding.

Vilém Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Tim Vieira, Mrinmaya Sachan, Ryan Cotterell

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Tokenization and the Noiseless Channel.

Vilém Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Mrinmaya Sachan, Ryan Cotterell

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models.

Alessandro Stolfo, Zhijing Jin, Kumar Shridhar, Bernhard Schölkopf, Mrinmaya Sachan

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Distilling Reasoning Capabilities into Smaller Language Models.

Kumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

World Models for Math Story Problems.

Andreas Opedal, Niklas Stoehr, Abulhair Saparov, Mrinmaya Sachan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Membership Inference Attacks against Language Models via Neighbourhood Comparison.

Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, Bernhard Schölkopf, Mrinmaya Sachan, Taylor Berg-Kirkpatrick

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

XDailyDialog: A Multilingual Parallel Dialogue Corpus.

Zeming Liu, Ping Nie, Jie Cai, Haifeng Wang, Zheng-Yu Niu, Peng Zhang, Mrinmaya Sachan, Kaiping Peng

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Adaptive and Personalized Exercise Generation for Online Language Learning.

Peng Cui, Mrinmaya Sachan

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Learning the Transformer Kernel.

Sankalan Pal Chowdhury, Adamos Solomou, Kumar Avinava Dubey, Mrinmaya Sachan

Trans. Mach. Learn. Res., 2022

Understanding Stereotypes in Language Models: Towards Robust Measurement and Zero-Shot Debiasing.

Justus Mattern, Zhijing Jin, Mrinmaya Sachan, Rada Mihalcea, Bernhard Schölkopf

CoRR, 2022

Distilling Multi-Step Reasoning Capabilities of Large Language Models into Smaller Models via Semantic Decompositions.

Kumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan

CoRR, 2022

Autoregressive Structured Prediction with Language Models.

Tianyu Liu, Yuchen Jiang, Nicholas Monath, Ryan Cotterell, Mrinmaya Sachan

CoRR, 2022

Investigating the Role of Centering Theory in the Context of Neural Coreference Resolution Systems.

Yuchen Eleanor Jiang, Ryan Cotterell, Mrinmaya Sachan

CoRR, 2022

A Bilingual Parallel Corpus with Discourse Annotations.

Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Mrinmaya Sachan, Ryan Cotterell

CoRR, 2022

When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment.

Zhijing Jin, Sydney Levine, Fernando Gonzalez, Ojasv Kamal, Maarten Sap, Mrinmaya Sachan, Rada Mihalcea, Josh Tenenbaum, Bernhard Schölkopf

CoRR, 2022

Understanding Knowledge Integration in Language Models with Graph Convolutions.

Yifan Hou, Guoji Fu, Mrinmaya Sachan

CoRR, 2022

A Simple Unsupervised Approach for Coreference Resolution using Rule-based Weak Supervision.

Alessandro Stolfo, Chris Tanner, Vikram Gupta, Mrinmaya Sachan

Proceedings of the 11th Joint Conference on Lexical and Computational Semantics, 2022

When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment.

Zhijing Jin, Sydney Levine, Fernando Gonzalez Adauto, Ojasv Kamal, Maarten Sap, Mrinmaya Sachan, Rada Mihalcea, Josh Tenenbaum, Bernhard Schölkopf

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance.

Jingwei Ni, Zhijing Jin, Markus Freitag, Mrinmaya Sachan, Bernhard Schölkopf

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Self-Supervised Contrastive Learning with Adversarial Perturbations for Defending Word Substitution-based Attacks.

Zhao Meng, Yihan Dong, Mrinmaya Sachan, Roger Wattenhofer

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

A Structured Span Selector.

Tianyu Liu, Yuchen Eleanor Jiang, Ryan Cotterell, Mrinmaya Sachan

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Probing via Prompting.

Jiaoda Li, Ryan Cotterell, Mrinmaya Sachan

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

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

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Case-based reasoning for better generalization in textual reinforcement learning.

Mattia Atzeni, Shehzaad Zuzar Dhuliawala, Keerthiram Murugesan, Mrinmaya Sachan

Proceedings of the Tenth International Conference on Learning Representations, 2022

Automatic Generation of Socratic Subquestions for Teaching Math Word Problems.

Kumar Shridhar, Jakub Macina, Mennatallah El-Assady, Tanmay Sinha, Manu Kapur, Mrinmaya Sachan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Differentially Private Language Models for Secure Data Sharing.

Justus Mattern, Zhijing Jin, Benjamin Weggenmann, Bernhard Schölkopf, Mrinmaya Sachan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Autoregressive Structured Prediction with Language Models.

Tianyu Liu, Yuchen Eleanor Jiang, Nicholas Monath, Ryan Cotterell, Mrinmaya Sachan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Logical Fallacy Detection.

Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya, Xiaoyu Shen, Yiwen Ding, Zhiheng Lyu, Mrinmaya Sachan, Rada Mihalcea, Bernhard Schölkopf

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Adapters for Enhanced Modeling of Multilingual Knowledge and Text.

Yifan Hou, Wenxiang Jiao, Meizhen Liu, Carl Allen, Zhaopeng Tu, Mrinmaya Sachan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

What Has Been Enhanced in my Knowledge-Enhanced Language Model?

Yifan Hou, Guoji Fu, Mrinmaya Sachan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Beyond prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations.

Yu Fei, Zhao Meng, Ping Nie, Roger Wattenhofer, Mrinmaya Sachan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang.

Daphna Keidar, Andreas Opedal, Zhijing Jin, Mrinmaya Sachan

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Calibration of Machine Reading Systems at Scale.

Shehzaad Dhuliawala, Leonard Adolphs, Rajarshi Das, Mrinmaya Sachan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Deep Clustering of Text Representations for Supervision-Free Probing of Syntax.

Vikram Gupta, Haoyue Shi, Kevin Gimpel, Mrinmaya Sachan

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Differentiable Subset Pruning of Transformer Heads.

Jiaoda Li, Ryan Cotterell, Mrinmaya Sachan

Trans. Assoc. Comput. Linguistics, 2021

Case-based Reasoning for Better Generalization in Text-Adventure Games.

Mattia Atzeni, Shehzaad Dhuliawala, Keerthiram Murugesan, Mrinmaya Sachan

CoRR, 2021

Self-Supervised Contrastive Learning with Adversarial Perturbations for Robust Pretrained Language Models.

Zhao Meng, Yihan Dong, Mrinmaya Sachan, Roger Wattenhofer

CoRR, 2021

Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP.

Zhijing Jin, Julius von Kügelgen, Jingwei Ni, Tejas Vaidhya, Ayush Kaushal, Mrinmaya Sachan, Bernhard Schölkopf

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

"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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Scaling Within Document Coreference to Long Texts.

Raghuveer Thirukovalluru, Nicholas Monath, Kumar Shridhar, Manzil Zaheer, Mrinmaya Sachan, Andrew McCallum

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

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

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Bird's Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach.

Yifan Hou, Mrinmaya Sachan

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Towards Literate Artificial Intelligence.

Mrinmaya Sachan

PhD thesis, 2020

Clustering Contextualized Representations of Text for Unsupervised Syntax Induction.

Vikram Gupta, Haoyue Shi, Kevin Gimpel, Mrinmaya Sachan

CoRR, 2020

Stronger Transformers for Neural Multi-Hop Question Generation.

Devendra Singh Sachan, Lingfei Wu, Mrinmaya Sachan, William L. Hamilton

CoRR, 2020

Enhancing Text-based Reinforcement Learning Agents with Commonsense Knowledge.

Keerthiram Murugesan, Mattia Atzeni, Pushkar Shukla, Mrinmaya Sachan, Pavan Kapanipathi, Kartik Talamadupula

CoRR, 2020

Knowledge Graph Embedding Compression.

Mrinmaya Sachan

Proceedings of the Conference on Automated Knowledge Base Construction, 2020

2019

Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks.

Mrinmaya Sachan, Avinava Dubey, Eduard H. Hovy, Tom M. Mitchell, Dan Roth, Eric P. Xing

Comput. Linguistics, 2019

2018

Discourse in Multimedia: A Case Study in Information Extraction.

Mrinmaya Sachan, Kumar Avinava Dubey, Eduard H. Hovy, Tom M. Mitchell, Dan Roth, Eric P. Xing

CoRR, 2018

Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems.

Mrinmaya Sachan, Kumar Avinava Dubey, Tom M. Mitchell, Dan Roth, Eric P. Xing

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Self-Training for Jointly Learning to Ask and Answer Questions.

Mrinmaya Sachan, Eric P. Xing

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition.

Devendra Singh Sachan, Pengtao Xie, Mrinmaya Sachan, Eric P. Xing

Proceedings of the Machine Learning for Healthcare Conference, 2018

Parsing to Programs: A Framework for Situated QA.

Mrinmaya Sachan, Eric P. Xing

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Contextual Parameter Generation for Universal Neural Machine Translation.

Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, Tom M. Mitchell

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Learning to Solve Geometry Problems from Natural Language Demonstrations in Textbooks.

Mrinmaya Sachan, Eric P. Xing

Proceedings of the 6th Joint Conference on Lexical and Computational Semantics, 2017

From Textbooks to Knowledge: A Case Study in Harvesting Axiomatic Knowledge from Textbooks to Solve Geometry Problems.

Mrinmaya Sachan, Avinava Dubey, Eric P. Xing

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Grounding Topic Models with Knowledge Bases.

Zhiting Hu, Gang Luo, Mrinmaya Sachan, Eric P. Xing, Zaiqing Nie

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Learning Concept Taxonomies from Multi-modal Data.

Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric P. Xing

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Machine Comprehension using Rich Semantic Representations.

Mrinmaya Sachan, Eric P. Xing

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Easy Questions First? A Case Study on Curriculum Learning for Question Answering.

Mrinmaya Sachan, Eric P. Xing

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Science Question Answering using Instructional Materials.

Mrinmaya Sachan, Kumar Avinava Dubey, Eric P. Xing

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

An Active Learning Approach to Coreference Resolution.

Mrinmaya Sachan, Eduard H. Hovy, Eric P. Xing

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Learning Answer-Entailing Structures for Machine Comprehension.

Mrinmaya Sachan, Kumar Avinava Dubey, Eric P. Xing, Matthew Richardson

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

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

Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

2013

Solving electrical networks to incorporate supervision in random walks.

Mrinmaya Sachan, Dirk Hovy, Eduard H. Hovy

Proceedings of the 22nd International World Wide Web Conference, 2013

Collective matrix factorization for co-clustering.

Mrinmaya Sachan, Shashank Srivastava

Proceedings of the 22nd International World Wide Web Conference, 2013

A Structured Distributional Semantic Model : Integrating Structure with Semantics.

Kartik Goyal, Sujay Kumar Jauhar, Huiying Li, Mrinmaya Sachan, Shashank Srivastava, Eduard H. Hovy

Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality, 2013

A Structured Distributional Semantic Model for Event Co-reference.

Kartik Goyal, Sujay Kumar Jauhar, Huiying Li, Mrinmaya Sachan, Shashank Srivastava, Eduard H. Hovy

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

Using content and interactions for discovering communities in social networks.

Mrinmaya Sachan, Danish Contractor, Tanveer A. Faruquie, L. Venkata Subramaniam

Proceedings of the 21st World Wide Web Conference 2012, 2012

2011

Using Text Reviews for Product Entity Completion.

Mrinmaya Sachan, Tanveer A. Faruquie, L. Venkata Subramaniam, Mukesh K. Mohania

Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

Probabilistic model for discovering topic based communities in social networks.

Mrinmaya Sachan, Danish Contractor, Tanveer A. Faruquie, L. Venkata Subramaniam

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011