Snigdha Chaturvedi
52 papers · 2014–2026 · 12 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (15) π Interdisciplinary Bridge π Renaissance Researcher (5) π£ Hot Topic Early Bird
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Interdisciplinary Bridge
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Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(15)
π€
Dynamic Duo
(16)
π
Grand Slam
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Deep Specialist
(10)
π§¬
Topic Evolution
π
Conference Pioneer
β‘
Prolific Year
(7)
π₯
Unstoppable
(10)
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The Questioner
(5)
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Trend Setter
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Century Club
(49)
ποΈ
Keyword Collector
(222)
Conferences
EMNLP (16)
ACL (12)
NAACL (9)
AAAI (3)
NIPS (3)
CONLL (2)
ICLR (2)
AACL (1)
AISTATS (1)
EACL (1)
ICML (1)
IJCNLP (1)
Top co-authors
Research topics
Keywords
extractive summarization
(5)
large language model
(5)
opinion summarization
(5)
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
CASPER in the Machine: Insights into Character Variety in LLM-Generated Stories
ACL 2026
Do LLM Agents Mirror Socio-Cognitive Effects in Power-Asymmetric Conversations?
ACL 2026
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
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
Classifying Unreliable Narrators with Large Language Models
ACL 2025
Fundamental Limits of Perfect Concept Erasure
AISTATS 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
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
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests
ICLR 2024
Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning
NIPS 2024
Robust Concept Erasure via Kernelized Rate-Distortion Maximization
NIPS 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
Curricular Next Conversation Prediction Pretraining for Transcript Segmentation
EACL 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
Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach
NAACL 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
Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation
EMNLP 2022
Unsupervised Extractive Opinion Summarization Using Sparse Coding
ACL 2022
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?
IJCNLP 2021
How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation?
ACL 2021
Adversarial Scrubbing of Demographic Information for Text Classification
EMNLP 2021
Is Everything in Order? A Simple Way to Order Sentences
EMNLP 2021
βLet Your Characters Tell Their Storyβ: A Dataset for Character-Centric Narrative Understanding
EMNLP 2021
Weakly-Supervised Opinion Summarization by Leveraging External Information
AAAI 2020
Predicting Depression in Screening Interviews from Latent Categorization of Interview Prompts
ACL 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
A Joint Model for Semantic Sequences: Frames, Entities, Sentiments
CONLL 2017
Story Comprehension for Predicting What Happens Next
EMNLP 2017
Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships
NAACL 2016
Predicting Instructorβs Intervention in MOOC forums
ACL 2014