---
title: "Yassine Benajiba — author profile and papers in our library"
description: "Yassine Benajiba: 8 papers on Elamur Research (2008–2026), h-index 12 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/yassine-benajiba/"
---
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# Yassine Benajiba

Yassine Benajiba has 8 papers in our library, in 2008–2026, most of them on [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/), [Named entity recognition](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Imed Zitouni](https://md.research.elamur.ai/free/en/authors/imed-zitouni/), [Michelle Yuan](https://md.research.elamur.ai/free/en/authors/michelle-yuan/), [Jyotika Singh](https://md.research.elamur.ai/free/en/authors/jyotika-singh/).

8 papers in our library · 2008–2026

[OpenAlex](https://openalex.org/A5109466332) · [ORCID](https://orcid.org/0009-0008-8158-4867) · [**h-index 12**](https://openalex.org/authors/A5109466332) · [81 works](https://openalex.org/works?filter=author.id:A5109466332) · [769 citations](https://openalex.org/works?filter=author.id:A5109466332&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 8 works in our library](https://md.research.elamur.ai/free/en/authors/yassine-benajiba/#papers) · [🔗 Cited 118 times in our library](https://md.research.elamur.ai/free/en/authors/yassine-benajiba/cited-by/) · [14 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6097](https://md.research.elamur.ai/free/en/paper-stars/page/61/#star-6097)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Yassine+Benajiba) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yassine+Benajiba) · [dblp](https://dblp.org/search?q=Yassine+Benajiba) · [ACL Anthology](https://aclanthology.org/search/?q=Yassine+Benajiba)

## Affiliations

[🏢**Amazon** Seattle · United States 2021–2025 · 19 papers](https://md.research.elamur.ai/free/en/companies/amazon/) · [🎓**Universitat Politècnica de València** Valencia · Spain 2007–2013 · 7 papers](https://md.research.elamur.ai/free/en/universities/universitat-politecnica-de-valencia/) · [🏢**Thomson Reuters** New York · United States 2013–2020 · 6 papers](https://ror.org/00m7gt169) · [🎓**Columbia University** New York · United States 2009–2010 · 5 papers](https://md.research.elamur.ai/free/en/universities/columbia-university/) · [🎓**Arizona State University** Tempe · United States 2023–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/arizona-state-university/) · [🎓**University of Sheffield** Sheffield · United Kingdom 2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-sheffield/) · [🏢**Philips** Amsterdam · Netherlands 2012–2015 · 2 papers](https://md.research.elamur.ai/free/en/companies/philips/) · [🏢**Oracle** Austin · United States 2025Employment since 2025 · Sr Director of Applied Science, AI](https://md.research.elamur.ai/free/en/companies/oracle/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 8 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 8 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 8 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 8 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 6 Research subjects and languages the work is about.[Semitic languages · 4 works](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Named entity recognition · 2 works](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Tokenization & segmentation · 1 work](https://md.research.elamur.ai/free/en/topics/tokenization/) · [Machine translation · 1 work](https://md.research.elamur.ai/free/en/topics/machine-translation/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/yassine-benajiba/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yassine-benajiba/year/2025/)

### 2010s

[**2010** 3 papers](https://md.research.elamur.ai/free/en/authors/yassine-benajiba/year/2010/)

### 2000s

[**2008** 1 paper](https://md.research.elamur.ai/free/en/authors/yassine-benajiba/year/2008/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Arabic Named Entity Recognition using Optimized Feature Sets](https://md.research.elamur.ai/free/en/papers/benajiba-2008-arabic-named-entity-recognition-optimized/)** *(2008 · 156 citations)* The paper addresses Arabic named entity recognition. Arabic has no capitalisation, omits short vowels and attaches clitics to words, so many surface forms are ambiguous and the data are sparse. The authors argue against one shared feature set for every NE class. Instead, they build a separate classifier for each…
2. **[Arabic Named Entity Recognition: Using Features Extracted from Noisy Data](https://md.research.elamur.ai/free/en/papers/benajiba-2010-arabic-named-entity-recognition-features/)** *(2010 · 42 citations)* Arabic NER is hard because of rich morphology and small hand-labelled corpora, so features that need many examples, like syntactic context, are hard to learn from gold data alone.
3. **[MemInsight: Autonomous Memory Augmentation for LLM Agents](https://md.research.elamur.ai/free/en/papers/salama-2025-meminsight-autonomous-memory-augmentation-llm/)** *(2025 · 22 citations)* LLM agents rely on long-term memory to give coherent, personalized answers. As stored interactions pile up, raw and unstructured memory becomes noisy and harder to search. MemInsight addresses this by having an LLM backbone enrich each memory entry automatically with attribute–value annotations, without a…
4. **[Arabic Word Segmentation for Better Unit of Analysis](https://md.research.elamur.ai/free/en/papers/benajiba-2010-arabic-word-segmentation-better-unit/)** *(2010 · 8 citations)* Arabic builds words by stacking prefixes, a stem and suffixes, so raw whitespace tokens are very sparse. This hurts learning and retrieval. The authors build two segmenters on Weighted Finite State Transducers. One produces full morphological segmentation, splitting every affix including gender markers. The other…
5. **[Barriers to Discrete Reasoning with Transformers: A Survey Across Depth, Exactness, and Bandwidth](https://md.research.elamur.ai/free/en/papers/yuan-2026-barriers-discrete-reasoning-transformers-survey/)** *(2026 · 3 citations)* The survey asks why transformer models, despite strong results in language and vision, remain unreliable at exact symbolic work such as arithmetic, Boolean logic, parsing, and multi-step algorithmic composition.
6. **[MT-OSC: Path for LLMs that Get Lost in Multi-Turn Conversation](https://md.research.elamur.ai/free/en/papers/singh-2026-mt-osc-path-llms-that/)** *(2026 · 3 citations)* LLMs perform noticeably worse when a task's instructions and context are spread across several dialogue turns.
7. **[MEAV: Model Editing with Alignment Vectors for inference time LLM alignment in single and multidomain preference spectrum](https://md.research.elamur.ai/free/en/papers/shahriar-2026-meav-model-editing-alignment-vectors/)** *(2026 · 1 citation)* The paper addresses the cost of adjusting LLM alignment after training. Methods like RLHF or DPO need retraining for every new preference setting, and many inference-time alternatives rely on a reward model at each step. The authors propose MEAV, which treats alignment as model editing in the spirit of Task…
8. **[Arabic Mention Detection: Toward Better Unit of Analysis](https://md.research.elamur.ai/free/en/papers/benajiba-2010-arabic-mention-detection-better-unit/)** *(2010 · 1 citation)* Arabic words often fuse conjunctions, articles, stems and pronoun suffixes, so the choice of token unit shapes how well a tagger generalises.

## All works

22 works of theirs in our library, the most cited first; 8 with a page here, the others link their original until we summarise them.

1. **[Arabic Named Entity Recognition using Optimized Feature Sets](https://md.research.elamur.ai/free/en/papers/benajiba-2008-arabic-named-entity-recognition-optimized/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yassine Benajiba, Mona Diab, Paolo Rosso*2008 · 156 citations*
2. **[Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis ↗](https://aclanthology.org/2023.wassa-1.3/) Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis · no summary yet**Siddharth Varia et al.*2023 · 58 citations*
3. **[Arabic Named Entity Recognition: Using Features Extracted from Noisy Data](https://md.research.elamur.ai/free/en/papers/benajiba-2010-arabic-named-entity-recognition-features/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yassine Benajiba, Imed Zitouni, Mona Diab, et al.*2010 · 42 citations*
4. **[MemInsight: Autonomous Memory Augmentation for LLM Agents](https://md.research.elamur.ai/free/en/papers/salama-2025-meminsight-autonomous-memory-augmentation-llm/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Rana Salama, Jason Cai, Michelle Yuan, et al.*2025 · 22 citations*
5. **[Towards Long Context Hallucination Detection ↗](https://aclanthology.org/2025.findings-naacl.436/) Findings of the Association for Computational Linguistics: NAACL 2025 · no summary yet**Siyi Liu et al.*2025 · 18 citations*
6. **[Arabic Word Segmentation for Better Unit of Analysis](https://md.research.elamur.ai/free/en/papers/benajiba-2010-arabic-word-segmentation-better-unit/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Yassine Benajiba, Imed Zitouni*2010 · 8 citations*
7. **[Open Domain Question Answering with Conflicting Contexts ↗](https://aclanthology.org/2025.findings-naacl.99/) Findings of the Association for Computational Linguistics: NAACL 2025 · no summary yet**Siyi Liu et al.*2025 · 7 citations*
8. **[Can LLMs Narrate Tabular Data? An Evaluation Framework for Natural Language Representations of Text-to-SQL System Outputs ↗](https://aclanthology.org/2025.emnlp-industry.60/) Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track · no summary yet**Jyotika Singh et al.*2025 · 6 citations*
9. **[From Instructions to Constraints: Language Model Alignment with Automatic Constraint Verification ↗](https://arxiv.org/abs/2403.06326) arXiv (Cornell University) · no summary yet**Wang Fei et al.*2024 · 5 citations*
10. **[Barriers to Discrete Reasoning with Transformers: A Survey Across Depth, Exactness, and Bandwidth](https://md.research.elamur.ai/free/en/papers/yuan-2026-barriers-discrete-reasoning-transformers-survey/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Michelle Yuan, Weiyi Sun, Amir H. Rezaeian, et al.*2026 · 3 citations*
11. **[MT-OSC: Path for LLMs that Get Lost in Multi-Turn Conversation](https://md.research.elamur.ai/free/en/papers/singh-2026-mt-osc-path-llms-that/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jyotika Singh, Fang Tu, Miguel Ballesteros, et al.*2026 · 3 citations*
12. **[Rethinking LLM Uncertainty: A Multi-Agent Approach to Estimating Black-Box Model Uncertainty ↗](https://aclanthology.org/2025.findings-emnlp.660/) Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yet**Yu Feng et al.*2025 · 3 citations*
13. **[Characterizing and Measuring Linguistic Dataset Drift ↗](https://aclanthology.org/2023.acl-long.498/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Tyler A. Chang et al.*2023 · 2 citations*
14. **[MEAV: Model Editing with Alignment Vectors for inference time LLM alignment in single and multidomain preference spectrum](https://md.research.elamur.ai/free/en/papers/shahriar-2026-meav-model-editing-alignment-vectors/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sadat Shahriar, Zheng Qi, Nikolaos Pappas, et al.*2026 · 1 citation*
15. **[GSM-SEM: Benchmark and Framework for Generating Semantically Variant Augmentations ↗](https://arxiv.org/abs/2605.07053) arXiv (Cornell University) · no summary yet**Jyotika Singh et al.*2026 · 1 citation*
16. **[DiffuMask: Diffusion Language Model for Token-level Prompt Pruning ↗](https://arxiv.org/abs/2604.06627) arXiv (Cornell University) · no summary yet**Caleb Zheng et al.*2026 · 1 citation*
17. **[Aligning to Constraints for Data-Efficient Language Model Customization ↗](https://aclanthology.org/2025.findings-naacl.294/) Findings of the Association for Computational Linguistics: NAACL 2025 · no summary yet**Fei Wang et al.*2025 · 1 citation*
18. **[Self-supervised Analogical Learning using Language Models ↗](https://arxiv.org/abs/2502.00996) arXiv (Cornell University) · no summary yet**Ben Zhou et al.*2025 · 1 citation*
19. **[Taxonomy Expansion for Named Entity Recognition ↗](https://aclanthology.org/2023.emnlp-main.426/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Karthikeyan K et al.*2023 · 1 citation*
20. **[Arabic Mention Detection: Toward Better Unit of Analysis](https://md.research.elamur.ai/free/en/papers/benajiba-2010-arabic-mention-detection-better-unit/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yassine Benajiba, Imed Zitouni*2010 · 1 citation*
21. **[JTPRO: A Joint Tool–Prompt Reflective Optimization Framework for Language Agents ↗](https://aclanthology.org/2026.findings-acl.2017/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Sandip Ghoshal et al.*2026*
22. **[NewsQs: Multi-Source Question Generation for the Inquiring Mind ↗](https://arxiv.org/abs/2402.18479) arXiv (Cornell University) · no summary yet**Alyssa Hwang et al.*2024*

## Co-authors here

12 of 20 co-authors with a page, the most papers together first.

- [Imed Zitouni](https://md.research.elamur.ai/free/en/authors/imed-zitouni/) ×3
- [Michelle Yuan](https://md.research.elamur.ai/free/en/authors/michelle-yuan/) ×3
- [Jyotika Singh](https://md.research.elamur.ai/free/en/authors/jyotika-singh/) ×2
- [Miguel Ballesteros](https://md.research.elamur.ai/free/en/authors/miguel-ballesteros/) ×2
- [Mona Diab](https://md.research.elamur.ai/free/en/authors/mona-diab/) ×2
- [Monica Sunkara](https://md.research.elamur.ai/free/en/authors/monica-sunkara/) ×2
- [Paolo Rosso](https://md.research.elamur.ai/free/en/authors/paolo-rosso/) ×2
- [Sandip Ghoshal](https://md.research.elamur.ai/free/en/authors/sandip-ghoshal/) ×2
- [Weiyi Sun](https://md.research.elamur.ai/free/en/authors/weiyi-sun/) ×2
- [Amir H. Rezaeian](https://md.research.elamur.ai/free/en/authors/amir-h-rezaeian/)
- [Anna Currey](https://md.research.elamur.ai/free/en/authors/anna-currey/)
- [Dan Roth](https://md.research.elamur.ai/free/en/authors/dan-roth/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×3: [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/), [EMNLP 2008](https://md.research.elamur.ai/free/en/venues/emnlp/2008/)
- Findings of the Association for Computational Linguistics: NAACL 2025 ×3
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2010](https://md.research.elamur.ai/free/en/venues/acl/2010/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2
- [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/)
- [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/): [LREC 2010](https://md.research.elamur.ai/free/en/venues/lrec/2010/)
- [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2010](https://md.research.elamur.ai/free/en/venues/naacl/2010/)
- Findings of the Association for Computational Linguistics: ACL 2026
- Findings of the Association for Computational Linguistics: EMNLP 2025
- Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis
- Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track

## Cited by

Papers of our library cite their works 118 times (of the 149,439 papers whose bibliographies we read); [46 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yassine-benajiba/cited-by/).

Updated 2 November 2026