Mrinmaya Sachan

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Elastic Weight Removal for Faithful and Abstractive Dialogue Generation.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails.

[BibT_eX]

[DOI]

Jorge Henrique Piazentin Ono

Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

Slicing, Chatting, and Refining: A Concept-Based Approach for Machine Learning Model Validation with ConceptSlicer.

[BibT_eX]

[DOI]

Xiaoyu Zhang

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

Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Can Large Language Models Infer Causation from Correlation?

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Do LLMs Think Fast and Slow? A Causal Study on Sentiment Analysis.

[BibT_eX]

[DOI]

Zhiheng Lyu

Zhijing Jin

Rada Mihalcea

Bernhard Schölkopf

Nathaniel Romney Robinson

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Towards Aligning Language Models with Textual Feedback.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Efficiently Computing Susceptibility to Context in Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Implicit Personalization in Language Models: A Systematic Study.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

RETRO-LI: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

PWESuite: Phonetic Word Embeddings and Tasks They Facilitate.

[BibT_eX]

[DOI]

David R. Mortensen

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

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

[BibT_eX]

[DOI]

Mennatallah El-Assady

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

Book2Dial: Generating Teacher Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots.

[BibT_eX]

[DOI]

Junling Wang

Jakub Macina

Nico Daheim

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

What Do Language Models Learn in Context? The Structured Task Hypothesis.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

How to Engage your Readers? Generating Guiding Questions to Promote Active Reading.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

CausalCite: A Causal Formulation of Paper Citations.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

CausalCite: A Causal Formulation of Paper Citations.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Learning the String Partial Order.

[BibT_eX]

[DOI]

CoRR, 2023

Understanding Arithmetic Reasoning in Language Models using Causal Mediation Analysis.

[BibT_eX]

[DOI]

Yonatan Belinkov

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Dominik Stammbach

Alexander Miserlis Hoyle

Elliott Ash

CoRR, 2023

Efficient Prompting via Dynamic In-Context Learning.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Variational Classification.

[BibT_eX]

[DOI]

Shehzaad Dhuliawala

Carl Allen

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Psychologically-Inspired Causal Prompts.

[BibT_eX]

[DOI]

CoRR, 2023

PWESuite: Phonetic Word Embeddings and Tasks They Facilitate.

[BibT_eX]

[DOI]

Nathaniel R. Robinson

David R. Mortensen

CoRR, 2023

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

[BibT_eX]

[DOI]

Max Kleiman-Weiner

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.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

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

[BibT_eX]

[DOI]

Mattia Atzeni

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.

[BibT_eX]

[DOI]

Ruida Wang

Wangchunshu Zhou

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.

[BibT_eX]

[DOI]

Yonatan Belinkov

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

Revisiting Automated Topic Model Evaluation with Large Language Models.

[BibT_eX]

[DOI]

Dominik Stammbach

Alexander Miserlis Hoyle

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.

[BibT_eX]

[DOI]

Janvijay Singh

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.

[BibT_eX]

[DOI]

Jakub Macina

Nico Daheim

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.

[BibT_eX]

[DOI]

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

A Diachronic Perspective on User Trust in AI under Uncertainty.

[BibT_eX]

[DOI]

Shehzaad Dhuliawala

Mennatallah El-Assady

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Longtonotes: OntoNotes with Longer Coreference Chains.

[BibT_eX]

[DOI]

Nicholas Monath

Raghuveer Thirukovalluru

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

Opportunities and Challenges in Neural Dialog Tutoring.

[BibT_eX]

[DOI]

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

Automatic Educational Question Generation with Difficulty Level Controls.

[BibT_eX]

[DOI]

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

A Formal Perspective on Byte-Pair Encoding.

[BibT_eX]

[DOI]

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

Tokenization and the Noiseless Channel.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Distilling Reasoning Capabilities into Smaller Language Models.

[BibT_eX]

[DOI]

Fatemehsadat Mireshghallah

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

World Models for Math Story Problems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Justus Mattern

Zhijing Jin

Bernhard Schölkopf

Taylor Berg-Kirkpatrick

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

XDailyDialog: A Multilingual Parallel Dialogue Corpus.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Peng Cui

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

2022

Learning the Transformer Kernel.

[BibT_eX]

[DOI]

Adamos Solomou

Kumar Avinava Dubey

Trans. Mach. Learn. Res., 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Autoregressive Structured Prediction with Language Models.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Yuchen Eleanor Jiang

CoRR, 2022

A Bilingual Parallel Corpus with Discourse Annotations.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Understanding Knowledge Integration in Language Models with Graph Convolutions.

[BibT_eX]

[DOI]

Yifan Hou

Guoji Fu

CoRR, 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Zhijing Jin

Sydney Levine

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

A Structured Span Selector.

[BibT_eX]

[DOI]

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

Probing via Prompting.

[BibT_eX]

[DOI]

Jiaoda Li

Shehzaad Zuzar Dhuliawala

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Mattia Atzeni

Keerthiram Murugesan

Proceedings of the Tenth International Conference on Learning Representations, 2022

Automatic Generation of Socratic Subquestions for Teaching Math Word Problems.

[BibT_eX]

[DOI]

Jakub Macina

Mennatallah El-Assady

Tanmay Sinha

Manu Kapur

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

Differentially Private Language Models for Secure Data Sharing.

[BibT_eX]

[DOI]

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

Autoregressive Structured Prediction with Language Models.

[BibT_eX]

[DOI]

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

Logical Fallacy Detection.

[BibT_eX]

[DOI]

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

Adapters for Enhanced Modeling of Multilingual Knowledge and Text.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Yifan Hou

Guoji Fu

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Calibration of Machine Reading Systems at Scale.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2021

Differentiable Subset Pruning of Transformer Heads.

[BibT_eX]

[DOI]

Jiaoda Li

Trans. Assoc. Comput. Linguistics, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Scaling Within Document Coreference to Long Texts.

[BibT_eX]

[DOI]

Raghuveer Thirukovalluru

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Yifan Hou

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.

[BibT_eX]

[DOI]

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

2020

Towards Literate Artificial Intelligence.

[BibT_eX]

[DOI]

PhD thesis, 2020

Clustering Contextualized Representations of Text for Unsupervised Syntax Induction.

[BibT_eX]

[DOI]

CoRR, 2020

Stronger Transformers for Neural Multi-Hop Question Generation.

[BibT_eX]

[DOI]

Devendra Singh Sachan

Lingfei Wu

William L. Hamilton

CoRR, 2020

Enhancing Text-based Reinforcement Learning Agents with Commonsense Knowledge.

[BibT_eX]

[DOI]

CoRR, 2020

Knowledge Graph Embedding Compression.

[BibT_eX]

[DOI]

Proceedings of the Conference on Automated Knowledge Base Construction, 2020

2019

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

[BibT_eX]

[DOI]

Comput. Linguistics, 2019

2018

Discourse in Multimedia: A Case Study in Information Extraction.

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Devendra Singh Sachan

Pengtao Xie

Proceedings of the Machine Learning for Healthcare Conference, 2018

Parsing to Programs: A Framework for Situated QA.

[BibT_eX]

[DOI]

Emmanouil Antonios Platanios

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

Contextual Parameter Generation for Universal Neural Machine Translation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Avinava Dubey

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

2016

Grounding Topic Models with Knowledge Bases.

[BibT_eX]

[DOI]

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

Learning Concept Taxonomies from Multi-modal Data.

[BibT_eX]

[DOI]

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

Machine Comprehension using Rich Semantic Representations.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Science Question Answering using Instructional Materials.

[BibT_eX]

[DOI]

Kumar Avinava Dubey

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

2015

An Active Learning Approach to Coreference Resolution.

[BibT_eX]

[DOI]

Eduard H. Hovy