Jad Kabbara
21 papers · 2016–2026 · 8 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (43) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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The Questioner
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Prolific Year · Productive
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Artificial Intelligence
(16)
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Machine Learning
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Keywords
large language model
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attention mechanism
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conversation analysis
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text classification
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natural language inference
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natural language generation
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contrastive learning
(2)
definiteness prediction
(2)
recurrent neural network
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semantic analysis
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confidence calibration
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data provenance
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bert model
(1)
language model alignment
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transfer learning
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semantic similarity
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model evaluation
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pragmatic reasoning
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concept learning
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graph embedding
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Papers
Common to Whom? Regional Cultural Commonsense and LLM Bias in India
ACL 2026
LLM Targeted Underperformance Disproportionately Impacts Vulnerable Users
AAAI 2026
Bridging Context Gaps: Enhancing Comprehension in Long-Form Social Conversations Through Contextualized Excerpts
COLING 2025
Bridging the Data Provenance Gap Across Text, Speech, and Video
ICLR 2025
Computational Analysis of Conversation Dynamics through Participant Responsivity
EMNLP 2025
Just Put a Human in the Loop? Investigating LLM-Assisted Annotation for Subjective Tasks
ACL 2025
Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models
ACL 2024
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings
ACL 2024
Consent in Crisis: The Rapid Decline of the AI Data Commons
NeurIPS 2024
Fora: A corpus and framework for the study of facilitated dialogue
ACL 2024
Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling
ACL 2024
On the Relationship between Truth and Political Bias in Language Models
EMNLP 2024
PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits
NAACL 2024
Position: Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them?
ICML 2024
Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models
ACL 2023
Investigating the Effect of Pre-finetuning BERT Models on NLI Involving Presuppositions
EMNLP 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
Let’s do it “again”: A First Computational Approach to Detecting Adverbial Presupposition Triggers
ACL 2018
Capturing Pragmatic Knowledge in Article Usage Prediction using LSTMs
COLING 2016