Snigdha Chaturvedi
51 papers · 2014–2026 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+13 more ↓ Show less ↑
🗺️ Taxonomy Completionist (95) 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
🤝
Dynamic Duo
(16)
🧬
Topic Evolution
🧭
Keyword Pioneer
🏆
Grand Slam
🔬
Deep Specialist
(11)
🌈
Renaissance Researcher
(8)
🔥
Unstoppable · Silver
❓
The Questioner
(5)
⚡
Prolific Year · Productive
🚀
Conference Pioneer
💎
Century Club · Silver
📈
Trend Setter
🗃️
Keyword Collector
(237)
Venues
Top co-authors
Research topics
Machine Learning
(35)
Natural Language Processing
(34)
Artificial Intelligence
(24)
Core AI
(21)
Generation
(21)
Deep Learning
(19)
Core Methods
(17)
Learning Types · Machine Learning
(17)
Application Areas
(14)
Applications
(12)
Learning Types · Deep Learning
(10)
Architectures
(6)
Interdisciplinary
(5)
Understanding
(5)
Models
(4)
Keywords
large language model
(6)
extractive summarization
(5)
opinion summarization
(5)
text generation
(4)
story generation
(4)
representation learning
(4)
language model
(4)
pre-trained language model
(4)
machine reading comprehension
(3)
natural language generation
(3)
unsupervised learning
(3)
text classification
(3)
narrative understanding
(3)
multi-document summarization
(3)
text summarization
(2)
few-shot learning
(2)
reading comprehension
(2)
commonsense knowledge
(2)
narrative generation
(2)
literary analysis
(2)
Papers
A Dialogue-Based Learning Analytics Framework for Collaborative Game-Based Learning
AAAI 2026
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
Classifying Unreliable Narrators with Large Language Models
ACL 2025
Coverage-based Fairness in Multi-document Summarization
NAACL 2025
Exploring Safety-Utility Trade-Offs in Personalized Language Models
NAACL 2025
Fundamental Limits of Perfect Concept Erasure
AISTATS 2025
Improving Fairness of Large Language Models in Multi-document Summarization
ACL 2025
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning
ICLR 2025
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
NeurIPS 2024
Rationale-based Opinion Summarization
NAACL 2024
Returning to the Start: Generating Narratives with Related Endpoints
NAACL 2024
SocialGaze: Improving the Integration of Human Social Norms in Large Language Models
EMNLP 2024
Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning
NeurIPS 2024
Affective and Dynamic Beam Search for Story Generation
EMNLP 2023
Aspect-aware Unsupervised Extractive Opinion Summarization
ACL 2023
Curricular Next Conversation Prediction Pretraining for Transcript Segmentation
EACL 2023
Efficient Graph Field Integrators Meet Point Clouds
ICML 2023
Improving Classroom Dialogue Act Recognition from Limited Labeled Data with Self-Supervised Contrastive Learning Classifiers
ACL 2023
PARROT: Zero-Shot Narrative Reading Comprehension via Parallel Reading
EMNLP 2023
Robust Concept Erasure via Kernelized Rate-Distortion Maximization
NeurIPS 2023
Sustaining Fairness via Incremental Learning
AAAI 2023
Unsupervised Opinion Summarization Using Approximate Geodesics
EMNLP 2023
Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation
EMNLP 2022
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization
EMNLP 2022
Read Top News First: A Document Reordering Approach for Multi-Document News Summarization
ACL 2022
Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach
NAACL 2022
SPE: Symmetrical Prompt Enhancement for Fact Probing
EMNLP 2022
Towards Inter-character Relationship-driven Story Generation
EMNLP 2022
Unsupervised Extractive Opinion Summarization Using Sparse Coding
ACL 2022
Adversarial Scrubbing of Demographic Information for Text Classification
EMNLP 2021
Does Commonsense help in detecting Sarcasm?
EMNLP 2021
How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation?
ACL 2021
Is Everything in Order? A Simple Way to Order Sentences
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
Bridging the Structural Gap Between Encoding and Decoding for Data-To-Text Generation
ACL 2020
Cue Me In: Content-Inducing Approaches to Interactive Story Generation
AACL 2020
Modeling Protagonist Emotions for Emotion-Aware Storytelling
EMNLP 2020
Predicting Depression in Screening Interviews from Latent Categorization of Interview Prompts
ACL 2020
Weakly-Supervised Opinion Summarization by Leveraging External Information
AAAI 2020
Named Entity Recognition with Partially Annotated Training Data
CoNLL 2019
Proceedings of the First Workshop on Narrative Understanding
NAACL 2019
Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences
NAACL 2018
Where Have I Heard This Story Before? Identifying Narrative Similarity in Movie Remakes
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 Instructor’s Intervention in MOOC forums
ACL 2014