NLPExplorer

Mrinmaya Sachan

Number of Papers:- 75

Number of Citations:- 71

First ACL Paper:- 2011

Latest ACL Paper:- 2024

Venues:-

NAACL

EMNLP

Findings

TACL

ACL

EACL

WMT

*SEMEVAL

IJCNLP

*SEM

Co-Authors:-

Similar Authors:-

A Transformer with Stack Attention F i n d i n g s - N A A C L

Jiaoda Li | Jennifer White | Mrinmaya Sachan | Ryan Cotterell |

CausalCite: A Causal Formulation of Paper Citations F i n d i n g s - A C L

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

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

Book2Dial: Generating Teacher Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots F i n d i n g s - A C L

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

Jiaoda Li | Yifan Hou | Mrinmaya Sachan | Ryan Cotterell |

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

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

Peng Cui | Vilém Zouhar | Xiaoyu Zhang | Mrinmaya Sachan |

Elastic Weight Removal for Faithful and Abstractive Dialogue Generation NAACL

Implicit Personalization in Language Models: A Systematic Study F i n d i n g s - E M N L P

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

Error Span Annotation: A Balanced Approach for Human Evaluation of Machine Translation WMT

Do LLMs Think Fast and Slow? A Causal Study on Sentiment Analysis F i n d i n g s - E M N L P

Efficiently Computing Susceptibility to Context in Language Models F i n d i n g s - E M N L P

Tianyu Liu | Kevin Du | Mrinmaya Sachan | Ryan Cotterell |

Towards Aligning Language Models with Textual Feedback EMNLP

Saüc Abadal Lloret | Shehzaad Dhuliawala | Keerthiram Murugesan | Mrinmaya Sachan |

Poor Man’s Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference EACL

Longtonotes: OntoNotes with Longer Coreference Chains F i n d i n g s - E A C L

Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillation F i n d i n g s - E A C L

Lingzhi Wang | Mrinmaya Sachan | Xingshan Zeng | Kam-fai Wong |

Opportunities and Challenges in Neural Dialog Tutoring EACL

Let’s Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models F i n d i n g s - E M N L P

Ruida Wang | Wangchunshu Zhou | Mrinmaya Sachan |

evision PDF of 'Tokenization and the Noiseless Channel ACL

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

Enhancing Textbooks with Visuals from the Web for Improved Learning EMNLP

Janvijay Singh | Vilém Zouhar | Mrinmaya Sachan |

A Formal Perspective on Byte-Pair Encoding F i n d i n g s - A C L

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

Tianyu Liu | Afra Amini | Mrinmaya Sachan | Ryan Cotterell |

A Diachronic Perspective on User Trust in AI under Uncertainty EMNLP

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

Revisiting Automated Topic Model Evaluation with Large Language Models EMNLP

Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels ACL

Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models EMNLP

MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems F i n d i n g s - E M N L P

World Models for Math Story Problems F i n d i n g s - A C L

Andreas Opedal | Niklas Stoehr | Abulhair Saparov | Mrinmaya Sachan |

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

Alessandro Stolfo | Yonatan Belinkov | Mrinmaya Sachan |

Distilling Reasoning Capabilities into Smaller Language Models F i n d i n g s - A C L

Kumar Shridhar | Alessandro Stolfo | Mrinmaya Sachan |

Membership Inference Attacks against Language Models via Neighbourhood Comparison F i n d i n g s - A C L

Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good F i n d i n g s - E M N L P

When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP ACL

Adaptive and Personalized Exercise Generation for Online Language Learning ACL

Peng Cui | Mrinmaya Sachan |

XDailyDialog: A Multilingual Parallel Dialogue Corpus ACL

Calibration of Machine Reading Systems at Scale ACL Findings

Shehzaad Dhuliawala | Leonard Adolphs | Rajarshi Das | Mrinmaya Sachan |

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

Daphna Keidar | Andreas Opedal | Zhijing Jin | Mrinmaya Sachan |

BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation NAACL

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

Probing via Prompting NAACL

Jiaoda Li | Ryan Cotterell | Mrinmaya Sachan |

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

Zhao Meng | Yihan Dong | Mrinmaya Sachan | Roger Wattenhofer |

A Simple Unsupervised Approach for Coreference Resolution using Rule-based Weak Supervision *SEM NAACL

Alessandro Stolfo | Chris Tanner | Vikram Gupta | Mrinmaya Sachan |

A Structured Span Selector NAACL

Tianyu Liu | Yuchen Jiang | Ryan Cotterell | Mrinmaya Sachan |

Differentially Private Language Models for Secure Data Sharing EMNLP

Automatic Generation of Socratic Subquestions for Teaching Math Word Problems EMNLP

Autoregressive Structured Prediction with Language Models F i n d i n g s - E M N L P

What Has Been Enhanced in my Knowledge-Enhanced Language Model? F i n d i n g s - E M N L P

Yifan Hou | Guoji Fu | Mrinmaya Sachan |

Adapters for Enhanced Modeling of Multilingual Knowledge and Text F i n d i n g s - E M N L P

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

Logical Fallacy Detection F i n d i n g s - E M N L P

How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact Findings

“Let Your Characters Tell Their Story”: A Dataset for Character-Centric Narrative Understanding EMNLP Findings

Differentiable Subset Pruning of Transformer Heads TACL

Jiaoda Li | Ryan Cotterell | Mrinmaya Sachan |

Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ACL IJCNLP

Yifan Hou | Mrinmaya Sachan |

Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations ACL IJCNLP

Scaling Within Document Coreference to Long Texts Findings

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

Knowledge Graph Embedding Compression ACL

Mrinmaya Sachan |

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

Contextual Parameter Generation for Universal Neural Machine Translation EMNLP

Emmanouil Antonios Platanios | Mrinmaya Sachan | Graham Neubig | Tom Mitchell |

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

Mrinmaya Sachan | Eric Xing |

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

Mrinmaya Sachan | Kumar Dubey | Eric Xing |