Sercan O Arik
Sercan O Arik has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining, Information retrieval & search; often with Ruoxi Sun, Fei Wang, Jiefeng Chen.
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📄 2 works in our library · 🔗 Cited 97 times in our library · ⭐ Paper Stars ranking: #6918
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 work
🧭 Topics 2Research subjects and languages the work is about.Information retrieval & search · 1 workLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- Chain of Agents: Large Language Models Collaborating on Long-Context Tasks (2024 · 104 citations)
LLMs handle very long inputs poorly, and both standard fixes fall short. Shrinking the input through truncation or RAG may discard the passages that matter. Enlarging the context window leaves the model struggling to attend to relevant content, as in the "lost in the middle" effect. The authors propose… - Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models (2025 · 59 citations)
Retrieval-augmented generation often receives passages that are irrelevant, misleading or even adversarial.
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2025
- Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2024
Cited by
Updated
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