Jad Kabbara
21 papers · 2016–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (9) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Cross-Pollinator (12)
π
Conference Polyglot
(7)
π
Academic Marathon
(9)
π
Renaissance Researcher
(5)
π₯
Mega-Team
(49)
π
Grand Slam
π§¬
Topic Evolution
π₯
Unstoppable
(5)
β‘
Prolific Year
(8)
π
Century Club
(19)
β
The Questioner
(2)
ποΈ
Keyword Collector
(76)
Conferences
ACL (8)
EMNLP (4)
COLING (3)
NAACL (2)
AAAI (1)
ICLR (1)
ICML (1)
NIPS (1)
Top co-authors
Research topics
Keywords
large language model
(7)
attention mechanism
(2)
conversation analysis
(2)
text classification
(2)
natural language inference
(2)
natural language generation
(2)
contrastive learning
(2)
definiteness prediction
(2)
recurrent neural network
(2)
semantic analysis
(2)
language model alignment
(1)
confidence calibration
(1)
bert model
(1)
ai safety
(1)
transfer learning
(1)
long short-term memory
(1)
model evaluation
(1)
semantic similarity
(1)
pragmatic reasoning
(1)
concept learning
(1)
Papers
LLM Targeted Underperformance Disproportionately Impacts Vulnerable Users
AAAI 2026
Common to Whom? Regional Cultural Commonsense and LLM Bias in India
ACL 2026
Bridging Context Gaps: Enhancing Comprehension in Long-Form Social Conversations Through Contextualized Excerpts
COLING 2025
Just Put a Human in the Loop? Investigating LLM-Assisted Annotation for Subjective Tasks
ACL 2025
Computational Analysis of Conversation Dynamics through Participant Responsivity
EMNLP 2025
Bridging the Data Provenance Gap Across Text, Speech, and Video
ICLR 2025
Fora: A corpus and framework for the study of facilitated dialogue
ACL 2024
PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits
NAACL 2024
Consent in Crisis: The Rapid Decline of the AI Data Commons
NIPS 2024
On the Relationship between Truth and Political Bias in Language Models
EMNLP 2024
Position: Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them?
ICML 2024
Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models
ACL 2024
Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling
ACL 2024
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings
ACL 2024
Investigating the Effect of Pre-finetuning BERT Models on NLI Involving Presuppositions
EMNLP 2023
Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models
ACL 2023
Investigating the Performance of Transformer-Based NLI Models on Presuppositional Inferences
COLING 2022
Post-Editing Extractive Summaries by Definiteness Prediction
EMNLP 2021
Computational Investigations of Pragmatic Effects in Natural Language
NAACL 2019
Letβs do it βagainβ: A First Computational Approach to Detecting Adverbial Presupposition Triggers
ACL 2018
Capturing Pragmatic Knowledge in Article Usage Prediction using LSTMs
COLING 2016