Jay Pujara
38 papers · 2015–2025 · 8 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(24)
Machine Learning
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Natural Language Processing
(23)
Core AI
(22)
Deep Learning
(14)
Generation
(10)
Learning Types Β· Machine Learning
(10)
Core Methods
(9)
Learning Types Β· Deep Learning
(9)
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Applications
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Knowledge & Reasoning
(6)
Models
(6)
Understanding
(5)
Keywords
large language model
(8)
language model
(6)
few-shot learning
(4)
dialogue system
(4)
response generation
(3)
subword tokenization
(2)
benchmark evaluation
(2)
table understanding
(2)
information retrieval
(2)
commonsense knowledge
(2)
semantic analysis
(2)
knowledge graph
(2)
reinforcement learning
(2)
pre-trained language model
(2)
information extraction
(2)
data augmentation
(2)
zero-shot learning
(2)
question answering
(2)
in-context learning
(2)
named entity recognition
(2)
Papers
A Practical Analysis of Human Alignment with *PO
NAACL 2025
A Systematic Analysis of Base Model Choice for Reward Modeling
EMNLP 2025
Red Queen: Exposing Latent Multi-Turn Risks in Large Language Models
ACL 2025
Efficient and Accurate Contextual Re-Ranking for Knowledge Graph Question Answering
COLING 2024
Faithful Persona-based Conversational Dataset Generation with Large Language Models
ACL 2024
Improving Covert Toxicity Detection by Retrieving and Generating References
NAACL 2024
Knowledge-Powered Recommendation for an Improved Diet Water Footprint
AAAI 2024
MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning
NeurIPS 2024
On the Adaptation of Unlimiformer for Decoder-Only Transformers
COLING 2024
SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures
NeurIPS 2024
Analyzing Norm Violations in Live-Stream Chat
EMNLP 2023
AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction
EACL 2023
Estimating Numbers without Regression
EACL 2023
I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons
ACL 2023
Identifying Quantifiably Verifiable Statements from Text
ACL 2023
Learn Your Tokens: Word-Pooled Tokenization for Language Modeling
EMNLP 2023
Making Large Language Models Better Data Creators
EMNLP 2023
Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning
EMNLP 2023
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models
ACL 2023
FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue
EMNLP 2022
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER
ACL 2022
Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer
ACL 2022
Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality
EMNLP 2022
Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation
ACL 2022
A Hybrid Probabilistic Approach for Table Understanding
AAAI 2021
Finding Pragmatic Differences Between Disciplines
NAACL 2021
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources
EMNLP 2021
Numeracy enhances the Literacy of Language Models
EMNLP 2021
Probing Commonsense Explanation in Dialogue Response Generation
EMNLP 2021
Representing Numbers in NLP: a Survey and a Vision
NAACL 2021
RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms
EMNLP 2021
SPADE: A Semi-supervised Probabilistic Approach for Detecting Errors in Tables
IJCAI 2021
Table-based Fact Verification With Salience-aware Learning
EMNLP 2021
Think Before You Speak: Learning to Generate Implicit Knowledge for Response Generation by Self-Talk
EMNLP 2021
Scalable Probabilistic Causal Structure Discovery
IJCAI 2018
Disambiguating Energy Disaggregation: A Collective Probabilistic Approach
IJCAI 2017
Sparsity and Noise: Where Knowledge Graph Embeddings Fall Short
EMNLP 2017
RELLY: Inferring Hypernym Relationships Between Relational Phrases
EMNLP 2015