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Author

Abbas Ghaddar

Observed name: Ghaddar, Abbas
OpenAlex ID: A5044793533
WikiCoref: An English Coreference-annotated Corpus of Wikipedia Articles
2016 · Abbas Ghaddar, Phillippe Langlais · Language Resources and Evaluation Conference (LREC) · 70
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Robust Lexical Features for Improved Neural Network Named-Entity Recognition
2018 · Ghaddar, Abbas, Langlais, Philippe · arXiv (Cornell University) · 66
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SEDAR: a Large Scale French-English Financial Domain Parallel Corpus
2020 · Abbas Ghaddar, Phillippe Langlais · Language Resources and Evaluation · 42
WiNER: A Wikipedia Annotated Corpus for Named Entity Recognition
2017 · Abbas Ghaddar, Phillippe Langlais · International Joint Conference on Natural Language Processing · 41
End-to-End Self-Debiasing Framework for Robust NLU Training
2021 · Abbas Ghaddar, Phillippe Langlais, et al. · 27
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Towards Zero-Shot Knowledge Distillation for Natural Language Processing
2021 · Ahmad Rashid, Vasileios Lioutas, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 25
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Universal-KD: Attention-based Output-Grounded Intermediate Layer Knowledge Distillation
2021 · Yimeng Wu, Mehdi Rezagholizadeh, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 19
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RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation
2022 · Md Akmal Haidar, Nithin Anchuri, et al. · Findings of the Association for Computational Linguistics: NAACL · 18
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CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search
2024 · Fengran Mo, Abbas Ghaddar, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 17
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Transforming Wikipedia into a Large-Scale Fine-Grained Entity Type Corpus
2018 · Abbas Ghaddar, Philippe Langlais · Language Resources and Evaluation Conference (LREC) · 13
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Coreference in Wikipedia: Main Concept Resolution
2016 · Abbas Ghaddar, Phillippe Langlais · 12
EWEK-QA : Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems
2024 · Mohammad Dehghan, Mohammad Alomrani, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 8
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Contextualized Word Representations from Distant Supervision with and for NER
2019 · Abbas Ghaddar, Phillippe Langlais · Workshop on Noisy User-generated Text (W-NUT) · 8
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RW-KD: Sample-wise Loss Terms Re-Weighting for Knowledge Distillation
2021 · Peng Lu, Abbas Ghaddar, et al. · 6
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Knowledge Distillation with Noisy Labels for Natural Language Understanding
2021 · Shivendra Bhardwaj, Abbas Ghaddar, et al. · Workshop on Noisy User-generated Text (W-NUT) · 3
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Enhancing Logical Reasoning in Large Language Models through Graph-based Synthetic Data
2024 · Zhou, Jiaming, Ghaddar, Abbas, et al. · arXiv (Cornell University) · 1
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OTTAWA: Optimal TransporT Adaptive Word Aligner for Hallucination and Omission Translation Errors Detection
2024 · Chenyang Huang, Abbas Ghaddar, et al. · 1
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CHARP: Conversation History AwaReness Probing for Knowledge-grounded Dialogue Systems
2024 · Abbas Ghaddar, David Alfonso-Hermelo, et al. · 1
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Fractional State Space Transition for Long Sequence Modeling
2026 · Kobyzev, Ivan, Ghaddar, Abbas, et al. · arXiv (Cornell University)
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Survival-Guided Length Control for Efficient Diffusion Language Models
2026 · Kobyzev, Ivan, Ghaddar, Abbas, et al. · arXiv (Cornell University)
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BOSCH: Black-Box Binary Optimization for Short-Context Attention-Head Selection in LLMs
2026 · Association for Computational Linguistics 2026, Chen, Boxing, et al. · Underline Science Inc.
BOSCH: Black-Box Binary Optimization for Short-Context Attention-Head Selection in LLMs
2026 · Ghaddar, Abbas, Kobyzev, Ivan, et al. · arXiv (Cornell University)
BOSCH: Black-Box Binary Optimization for Short-Context Attention-Head Selection in LLMs
2026 · Ghaddar, Abbas, Kobyzev, Ivan, et al. · arXiv (Cornell University)
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BOSCH: Black-Box Binary Optimization for Short-Context Attention-Head Selection in LLMs
2026 · Abbas Ghaddar, Ivan Kobyzev, et al. · Annual Meeting of the Association for Computational Linguistics (ACL)
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Omni-Thinker: Scaling Multi-Task RL in LLMs with Hybrid Reward and Task Scheduling
2025 · Li, Derek, Zhou, Jiaming, et al. · arXiv (Cornell University)
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Works count: 50
Citation count: 378
H-index: 11
I10-index: 11
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