Snigdha Chaturvedi

50 papers · 2014–2026 · 12 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (13) 🏃 Academic Marathon (11) 🌍 Conference Polyglot (12) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (15) 🤝 Dynamic Duo (16) 🏆 Grand Slam 🔬 Deep Specialist (10) 🧬 Topic Evolution 🚀 Conference Pioneer ⚡ Prolific Year (7) 🔥 Unstoppable (10) ❓ The Questioner (5) 📈 Trend Setter 💎 Century Club (49) 🗃️ Keyword Collector (222)

Conferences

EMNLP (16) ACL (10) NAACL (9) AAAI (3) NIPS (3) CONLL (2) ICLR (2) AACL (1) AISTATS (1) EACL (1) ICML (1) IJCNLP (1)

Top co-authors

Somnath Basu Roy Chowdhury (16) Faeze Brahman (10) Chao Zhao (9) Shashank Srivastava (6) Dan Roth (5) Kumar Avinava Dubey (5) Nicholas Monath (4) Amr Ahmed (4) Anvesh Rao Vijjini (4) Haoyuan Li (4)

Research topics

Digital Humanities (2)

Keywords

extractive summarization (5) opinion summarization (5) large language model (4) text generation (4) language model (4) story generation (4) natural language generation (3) multi-document summarization (3) pre-trained language model (3) pretrained language model (3) machine reading comprehension (3) unsupervised learning (3) representation learning (3) text classification (3) narrative understanding (3) domain adaptation (2) transfer learning (2) few-shot learning (2) model compression (2) text summarization (2)

Papers

A Dialogue-Based Learning Analytics Framework for Collaborative Game-Based Learning AAAI 2026

Improving Fairness of Large Language Models in Multi-document Summarization ACL 2025

Fundamental Limits of Perfect Concept Erasure AISTATS 2025

Classifying Unreliable Narrators with Large Language Models ACL 2025

Exploring Safety-Utility Trade-Offs in Personalized Language Models NAACL 2025

Coverage-based Fairness in Multi-document Summarization NAACL 2025

Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning ICLR 2025

Returning to the Start: Generating Narratives with Related Endpoints NAACL 2024

Rationale-based Opinion Summarization NAACL 2024

Dual Process Masking for Dialogue Act Recognition EMNLP 2024

Enhancing Group Fairness in Online Settings Using Oblique Decision Forests ICLR 2024

Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers NIPS 2024

SocialGaze: Improving the Integration of Human Social Norms in Large Language Models EMNLP 2024

Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning NIPS 2024

Curricular Next Conversation Prediction Pretraining for Transcript Segmentation EACL 2023

Sustaining Fairness via Incremental Learning AAAI 2023

Improving Classroom Dialogue Act Recognition from Limited Labeled Data with Self-Supervised Contrastive Learning Classifiers ACL 2023

Aspect-aware Unsupervised Extractive Opinion Summarization ACL 2023

Robust Concept Erasure via Kernelized Rate-Distortion Maximization NIPS 2023

Unsupervised Opinion Summarization Using Approximate Geodesics EMNLP 2023

Affective and Dynamic Beam Search for Story Generation EMNLP 2023

PARROT: Zero-Shot Narrative Reading Comprehension via Parallel Reading EMNLP 2023

Efficient Graph Field Integrators Meet Point Clouds ICML 2023

Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation EMNLP 2022

Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach NAACL 2022

Unsupervised Extractive Opinion Summarization Using Sparse Coding ACL 2022

Read Top News First: A Document Reordering Approach for Multi-Document News Summarization ACL 2022

Towards Inter-character Relationship-driven Story Generation EMNLP 2022

SPE: Symmetrical Prompt Enhancement for Fact Probing EMNLP 2022

NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization EMNLP 2022

Adversarial Scrubbing of Demographic Information for Text Classification EMNLP 2021

“Let Your Characters Tell Their Story”: A Dataset for Character-Centric Narrative Understanding EMNLP 2021

Uncovering Implicit Gender Bias in Narratives through Commonsense Inference EMNLP 2021

Does Commonsense help in detecting Sarcasm? EMNLP 2021

How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation? ACL 2021

How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation? IJCNLP 2021

Is Everything in Order? A Simple Way to Order Sentences EMNLP 2021

Predicting Depression in Screening Interviews from Latent Categorization of Interview Prompts ACL 2020

Weakly-Supervised Opinion Summarization by Leveraging External Information AAAI 2020

Modeling Protagonist Emotions for Emotion-Aware Storytelling EMNLP 2020

Cue Me In: Content-Inducing Approaches to Interactive Story Generation AACL 2020

Bridging the Structural Gap Between Encoding and Decoding for Data-To-Text Generation ACL 2020

Named Entity Recognition with Partially Annotated Training Data CONLL 2019

Proceedings of the First Workshop on Narrative Understanding NAACL 2019

Where Have I Heard This Story Before? Identifying Narrative Similarity in Movie Remakes NAACL 2018

Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences NAACL 2018

Story Comprehension for Predicting What Happens Next EMNLP 2017

A Joint Model for Semantic Sequences: Frames, Entities, Sentiments CONLL 2017

Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships NAACL 2016

Predicting Instructor’s Intervention in MOOC forums ACL 2014