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Findings of the Association for Computational Linguistics 2026: all accepted papers

2,517 papers · page 13 of 26 · the most cited first · ← Findings of the Association for Computational Linguistics 2026

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  1. G-LoRA: Global-Local Decoupled Low-Rank Adaptation ↗Jiahao Xiong, Yihong Huang, Yihe Liu et al.
  2. GOAT: A Training Framework for Goal-Oriented Agent with Tools ↗Hyunji Min, Sangwon Jung, Junyoung Sung et al.
  3. GR1: Reinforcement-Enhanced LLM for Geoscience Reasoning ↗Yule Xie, Jiaxin Ding, Cheng Deng et al.
  4. GRAFF: GRaph-Augmented Fine-grained Fusion for Large Language Models ↗Himanshu Chaudhary, Ruida Wang, Gowtham Ramesh et al.
  5. Gaperon: A Peppered English-French Generative Language Model Suite ↗Nathan Godey, Wissam Antoun, Rian Touchent et al.
  6. Garbage In, Reasoning Out? Why Benchmark Scores are Unreliable and What to Do About It ↗Seyed Mahed Mousavi, Edoardo Cecchinato, Lucia Horníková et al.
  7. Generics are not quantificational: A new path from language models to semantic theory ↗Gustavo Cilleruelo Calderón, Mahrad Almotahari, Emily Allaway et al.
  8. GigaCheck: Detecting LLM-generated Content via Object-Centric Span Localization ↗Irina Tolstykh, Aleksandra Tsybina, Sergey Yakubson et al.
  9. GlossaGen: Making Academic Translation Smarter with Glossing ↗Zixiao Wang, Duzhen Zhang, Juntian Zhang et al.
  10. Grounding Agent Memory in Contextual Intent ↗Ruozhen Yang, Yucheng Jiang, Yueqi Jiang et al.
  11. HORIZON: A Benchmark for In-the-wild User Behaviour Modeling ↗Arnav Goel, Pranjal A Chitale, Bhawna Paliwal et al.
  12. HTMuon: Improving Muon via Heavy-Tailed Spectral Correction ↗Tianyu Pang, Yujie Fang, Zihang Liu et al.
  13. HearSay Benchmark: Do Audio LLMs Leak What They Hear? ↗Jin Wang, Kaiwen Luo, Liang Lin et al.

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