James Caverlee
28 papers · 2020–2026 · 8 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(18)
Machine Learning
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Core AI
(17)
Natural Language Processing
(15)
Learning Types Β· Machine Learning
(11)
Deep Learning
(10)
Application Areas
(8)
Applications Β· Natural Language Processing
(8)
Generation
(6)
Learning Types Β· Deep Learning
(6)
Models
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Architectures
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Data Science & Analytics
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Applications Β· Data Science & Analytics
(3)
Keywords
large language model
(8)
language model
(4)
text generation
(3)
contrastive learning
(2)
graph neural network
(2)
question generation
(2)
speech disfluency
(2)
knowledge graph
(2)
adversarial attack
(2)
disaster management
(2)
adversarial learning
(1)
feature extraction
(1)
sentiment analysis
(1)
natural language processing
(1)
domain adaptation
(1)
zero-shot learning
(1)
representation learning
(1)
binary classification
(1)
speech processing
(1)
model security
(1)
Papers
CHOIR: Harmonizing Structured Persona Diversity for Robust Collaborative LLM Reasoning
ACL 2026
DMRetriever: A Family of Models for Improved Text Retrieval in Disaster Management
ACL 2026
A Survey on LLMs for Story Generation
EMNLP 2025
DisastIR: A Comprehensive Information Retrieval Benchmark for Disaster Management
EMNLP 2025
GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking
ACL 2025
I want a horror β comedy β movie: Slips-of-the-Tongue Impact Conversational Recommender System Performance
Interspeech 2025
Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation
AAAI 2025
Masculine Defaults via Gendered Discourse in Podcasts and Large Language Models
ACL 2025
ReasoningRec: Bridging Personalized Recommendations and Human-Interpretable Explanations through LLM Reasoning
NAACL 2025
Comparing ASR Systems in the Context of Speech Disfluencies
Interspeech 2024
DA3: A Distribution-Aware Adversarial Attack against Language Models
EMNLP 2024
DACL: Disfluency Augmented Curriculum Learning for Fluent Text Generation
COLING 2024
FANTAstic SEquences and Where to Find Them: Faithful and Efficient API Call Generation through State-tracked Constrained Decoding and Reranking
EMNLP 2024
KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques
ACL 2024
Quantifying the Impact of Disfluency on Spoken Content Summarization
COLING 2024
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion
EMNLP 2024
The Neglected Tails in Vision-Language Models
CVPR 2024
Bias Neutralization in Non-Parallel Texts: A Cyclic Approach with Auxiliary Guidance
EMNLP 2023
Closed-book Question Generation via Contrastive Learning
EACL 2023
Co2PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning
EMNLP 2023
PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts
ACL 2023
Reinforced Sequence Training based Subjective Bias Correction
EACL 2023
Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model
EMNLP 2023
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning
AAAI 2022
RES: An Interpretable Replicability Estimation System for Research Publications
AAAI 2022
Identifying Hijacked Reviews
ACL 2021
Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition
EMNLP 2020
PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge
EMNLP 2020