PPaperPicks

Timothy Baldwin

Mohamed bin Zayed University of Artificial Intelligence, UAE

40 papers at tracked venues · 17 at CORE A* · active 2024–2026

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Venues

ACL ×13NAACL ×9EMNLP ×7EACL ×4NeurIPS ×2AAAI ×1ECIR ×1ICLR ×1IJCAI ×1WACV ×1

Frequent coauthors

Masahiro Kaneko
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Renxi Wang
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Rui Xing
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Ekaterina Fadeeva
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Artem Shelmanov
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Haonan Li
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Artem Vazhentsev
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Tatsuki Kuribayashi
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Ivan Rodkin
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Yilin Geng
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Go Inoue
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Jingwei Ni
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Papers

  1. A Multilingual Social Bias Benchmark Incorporating Thinking Processes
    ACL 2026 ·
    Masahiro Kaneko
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  2. Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling
    ACL 2026 ·
    Ivan Rodkin
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  3. COMMUNITYNOTES: A Dataset for Exploring the Helpfulness of Fact-Checking Explanations
    EACL 2026 ·
    Rui Xing
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  4. Control Illusion: The Failure of Instruction Hierarchies in Large Language Models
    AAAI 2026 ·
    Yilin Geng
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  5. Do Diacritics Matter? Evaluating the Impact of Arabic Diacritics on Tokenization and LLM Benchmarks
    EACL 2026 ·
    Go Inoue
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  6. Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models
    ACL 2026 ·
    Jingwei Ni
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  7. Faithfulness-Aware Uncertainty Quantification for Fact-Checking the Output of Retrieval-Augmented Generation
    ACL 2026 ·
    Ekaterina Fadeeva
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  8. On the Interplay between Human Label Variation and Model Fairness
    EACL 2026 ·
    Kemal Kurniawan
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  9. SCALAR: Scientific Citation-based Live Assessment of Long-context Academic Reasoning
    EACL 2026 ·
    Renxi Wang
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  10. ThinkBooster: A Unified Framework for Seamless Test-Time Scaling of LLM Reasoning
    ACL 2026 ·
    Vladislav Smirnov
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  11. Uncertainty Quantification for Large Language Models
    ECIR 2026 ·
    Maxim Panov
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  12. A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs
    EMNLP 2025 ·
    Artem Shelmanov
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  13. An Ethical Dataset from Real-World Interactions Between Users and Large Language Models
    IJCAI 2025 ·
    Masahiro Kaneko
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  14. Arabic Dataset for LLM Safeguard Evaluation
    NAACL 2025 ·
    Yasser Ashraf
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  15. Balanced Multi-Factor In-Context Learning for Multilingual Large Language Models
    EMNLP 2025 ·
    Masahiro Kaneko
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  16. BiMediX2 : Bio-Medical EXpert LMM for Diverse Medical Modalities
    EMNLP 2025 ·
    Sahal Shaji Mullappilly
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  17. Bits Leaked per Query: Information-Theoretic Bounds for Adversarial Attacks on LLMs
    NeurIPS 2025 ·
    Masahiro Kaneko
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  18. Cross-Cultural Transfer of Commonsense Reasoning in LLMs: Evidence from the Arab World
    EMNLP 2025 ·
    Saeed Almheiri
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  19. Evaluating Evidence Attribution in Generated Fact Checking Explanations
    NAACL 2025 ·
    Rui Xing
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  20. Inference-Time Selective Debiasing to Enhance Fairness in Text Classification Models
    NAACL 2025 ·
    Gleb Kuzmin
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  21. Investigating How Pre-training Data Leakage Affects Models' Reproduction and Detection Capabilities
    EMNLP 2025 ·
    Masahiro Kaneko
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  22. Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability
    NAACL 2025 ·
    Haonan Li
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  23. NAT: Enhancing Agent Tuning with Negative Samples
    NAACL 2025 ·
    Renxi Wang
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  24. Palo: A Polyglot Large Multimodal Model for 5B People
    WACV 2025 ·
    Hanoona Abdul Rasheed
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  25. Qorǵau: Evaluating Safety in Kazakh-Russian Bilingual Contexts
    ACL 2025 ·
    Maiya Goloburda
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  26. Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models
    NAACL 2025 ·
    Artem Vazhentsev
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  27. ToolGen: Unified Tool Retrieval and Calling via Generation
    ICLR 2025 ·
    Renxi Wang
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  28. Uncertainty Quantification for Large Language Models
    ACL 2025 ·
    Artem Shelmanov
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  29. Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models
    EMNLP 2025 ·
    Artem Vazhentsev
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  30. A Chinese Dataset for Evaluating the Safeguards in Large Language Models
    ACL 2024 ·
    Yuxia Wang
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  31. ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic
    ACL 2024 ·
    Fajri Koto
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  32. Are Multilingual LLMs Culturally-Diverse Reasoners? An Investigation into Multicultural Proverbs and Sayings
    NAACL 2024 ·
    Chen Liu
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  33. BiMediX: Bilingual Medical Mixture of Experts LLM
    EMNLP 2024 ·
    Sara Pieri
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  34. CMMLU: Measuring massive multitask language understanding in Chinese
    ACL 2024 ·
    Haonan Li
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  35. Demystifying Instruction Mixing for Fine-tuning Large Language Models
    ACL 2024 ·
    Renxi Wang
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  36. Emergent Word Order Universals from Cognitively-Motivated Language Models
    ACL 2024 ·
    Tatsuki Kuribayashi
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  37. Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification
    ACL 2024 ·
    Ekaterina Fadeeva
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  38. Psychometric Predictive Power of Large Language Models
    NAACL 2024 ·
    Tatsuki Kuribayashi
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  39. Revisiting subword tokenization: A case study on affixal negation in large language models
    NAACL 2024 ·
    Thinh Truong
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  40. Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs
    NeurIPS 2024 ·
    Sukmin Yun
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