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Who cites Anirudh Goyal

10,174 citations of their works from 9,544 papers of our library (of the 149,439 whose bibliographies we read) · 2,309 with a page here, the most cited first · page 11 of 24 · 1001–1100 · ← Anirudh Goyal

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  1. MizanQA: Benchmarking Large Language Models on Moroccan Legal Question AnsweringarXiv:2508.16357Adil Bahaj, Mounir Ghogho2025 · 5 citations
  2. RSafe: Incentivizing proactive reasoning to build robust and adaptive LLM safeguardsarXiv:2506.07736 · 39th Conference on Neural Information Processing Systems (NeurIPS 2025). 39th Conference on Neural Information Processing Systems (NeurIPS 2025). 39th Conference on Neural Information Processing Systems (NeurIPS 2025)Jingnan Zheng, Xiangtian Ji, Yijun Lu, et al.2025 · 5 citations
  3. Uncertainty Distillation: Teaching Language Models to Express Semantic ConfidencearXiv:2503.14749Sophia Hager; David Mueller; Kevin Duh;, Nicholas Andrews2025 · 5 citations
  4. Baichuan Alignment Technical ReportarXiv:2410.14940Mingan Lin, Fan Yang, Yanjun Shen, et al.2024 · 5 citations
  5. Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data GenerationarXiv:2407.16008Jiaming Shen, Ran Xu, Yennie Jun, et al.2024 · 5 citations
  6. Do Diacritics Matter? Evaluating the Impact of Arabic Diacritics on Tokenization and LLM BenchmarksGo Inoue, Bashar Alhafni, Nizar Habash, et al.2026 · 4 citations
  7. Large Language Models for Mental Health: A Multilingual EvaluationWorkshop on Language Models for Low-Resource LanguagesNishat Raihan, Sadiya Sayara Chowdhury Puspo, Ana-Maria Bucur, et al.2026 · 4 citations
  8. Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box SystemsarXiv:2505.17968Jiayi Geng, Howard Chen, Dilip Arumugam, et al.2025 · 4 citations
  9. Evaluating the Effectiveness of Direct Preference Optimization for Personalizing German Automatic Text Simplifications for Persons with Intellectual DisabilitiesarXiv:2507.01479Yingqiang Gao, Kaede Johnson, David Froehlich, et al.2025 · 4 citations
  10. Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUsarXiv:2503.05139Ling Team; Binwei Zeng; Chao Huang; Chao Zhang; Changxin Tian; Cong Chen; Dingnan Jin; Feng Yu; Feng Zhu; Feng Yuan; Fakang Wang; Gangshan Wang; Guangyao Zhai; Haitao Zhang; Huizhong Li; Jun Zhou; Jia Liu; Junpeng Fang; Junjie Ou; Jun Hu; Ji Luo; Ji Zhang; Jian Liu; Jian Sha; Jianxue Qian; Jiewei Wu; Junping Zhao; Jianguo Li; Jubao Feng; Jingchao Di; Junming Xu; Jinghua Yao; Kuan Xu; Kewei Du; Longfei Li; Lei Liang; Lu Yu; Li Tang; Lin Ju; Peng Xu; Qing Cui; Song Liu; Shicheng Li; Shun Song; Song Yan; Tengwei Cai; Tianyi Chen; Ting Guo; Ting Huang; Tao Feng; Tao Wu; Wei Wu; Xiaolu Zhang; Xueming Yang; Xin Zhao; Xiaobo Hu; Xin Lin; Yao Zhao; Yilong Wang; Yongzhen Guo; Yuanyuan Wang; Yue Yang; Yang Cao; Yuhao Fu; Yi Xiong; Yanzhe Li; Zhe Li; Zhiqiang Zhang; Ziqi Liu; Zhaoxin Huan; Zujie Wen; Zhenhang Sun; Zhuoxuan Du;, Zhengyu He2025 · 4 citations
  11. In the LLM era, Word Sense Induction remains unsolvedAnna Mosolova, Marie Candito, Carlos Ramisch2025 · 4 citations
  12. Kimi-Dev: Agentless Training as Skill Prior for SWE-AgentsarXiv:2509.23045Zonghan Yang, Shengjie Wang, Kelin Fu, et al.2025 · 4 citations
  13. Kuwain 1.5B: An Arabic SLM via Language InjectionarXiv:2504.15120Khalil Hennara, Sara Chrouf, Mohamed Motaism Hamed, et al.2025 · 4 citations
  14. Llama-GENBA-10B: A Trilingual Large Language Model for German, English and BavarianarXiv:2509.05668Michael Hoffmann, Jophin John, Stefan Schweter, et al.2025 · 4 citations
  15. Read Your Own Mind: Reasoning Helps Surface Self-Confidence Signals in LLMsarXiv:2505.23845 · UncertaiNLP Workshop at Empirical Methods in Natural Language Processing 2025 (EMNLP 2025)Jakub Podolak, Rajeev Verma2025 · 4 citations
  16. Towards Developmentally Plausible Rewards: Communicative Success as a Learning Signal for Interactive Language ModelsarXiv:2505.05970Lennart Stopler, Rufat Asadli, Mitja Nikolaus, et al.2025 · 4 citations
  17. Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language ModelsarXiv:2412.15265Yingshui Tan, Boren Zheng, Baihui Zheng, et al.2024 · 4 citations
  18. Do Large Language Models Reflect Demographic Pluralism in Safety?Findings of the Association for Computational LinguisticsUsman Naseem, Gautam Siddharth Kashyap, Sushant Kumar Ray, et al.2026 · 3 citations

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