James Caverlee
28 papers · 2020–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (14)
🌍
Conference Polyglot
(9)
🏃
Academic Marathon
(5)
🌈
Renaissance Researcher
(11)
🤝
Dynamic Duo
(12)
🧬
Topic Evolution
🏆
Keyword Champion
(2)
💎
Century Club
(26)
⚡
Prolific Year
(8)
🔥
Unstoppable
(6)
🗃️
Keyword Collector
(145)
Conferences
EMNLP (10)
ACL (7)
AAAI (3)
COLING (2)
EACL (2)
CVPR (1)
IJCNLP (1)
INTERSPEECH (1)
NAACL (1)
Top co-authors
Research topics
Keywords
large language model
(7)
language model
(4)
text generation
(3)
fraud detection
(2)
disaster management
(2)
contrastive learning
(2)
siamese network
(2)
knowledge graph
(2)
question generation
(2)
fake review detection
(2)
adversarial attack
(2)
graph neural network
(2)
sequence classification
(2)
natural language processing
(1)
sentiment analysis
(1)
adversarial learning
(1)
feature extraction
(1)
domain adaptation
(1)
zero-shot learning
(1)
representation learning
(1)
Papers
DMRetriever: A Family of Models for Improved Text Retrieval in Disaster Management
ACL 2026
CHOIR: Harmonizing Structured Persona Diversity for Robust Collaborative LLM Reasoning
ACL 2026
A Survey on LLMs for Story Generation
EMNLP 2025
Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation
AAAI 2025
GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking
ACL 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
DisastIR: A Comprehensive Information Retrieval Benchmark for Disaster Management
EMNLP 2025
DACL: Disfluency Augmented Curriculum Learning for Fluent Text Generation
COLING 2024
Quantifying the Impact of Disfluency on Spoken Content Summarization
COLING 2024
The Neglected Tails in Vision-Language Models
CVPR 2024
Comparing ASR Systems in the Context of Speech Disfluencies
INTERSPEECH 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
DA3: A Distribution-Aware Adversarial Attack against Language Models
EMNLP 2024
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion
EMNLP 2024
Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model
EMNLP 2023
Reinforced Sequence Training based Subjective Bias Correction
EACL 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
Bias Neutralization in Non-Parallel Texts: A Cyclic Approach with Auxiliary Guidance
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
IJCNLP 2021
Identifying Hijacked Reviews
ACL 2021
PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge
EMNLP 2020
Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition
EMNLP 2020