Who cites Sijie Cheng
- LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yaowei Zheng, Richong Zhang, Junhao Zhang, et al.2024 · 1,048 citations
- MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding BenchmarkConference on Neural Information Processing Systems (NeurIPS)Yubo Wang, Xueguang Ma, Ge Zhang, et al.2024 · 761 citations
- AgentBench: Evaluating LLMs as AgentsarXiv:2308.03688Xiao Liu, Hao Yu, Hanchen Zhang, et al.2023 · 432 citations
- HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust RefusalarXiv:2402.04249Mantas Mazeika, Long Phan, Xuwang Yin, et al.2024 · 330 citations
- On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A SurveyFindings of the Association for Computational LinguisticsLin Long, Rui Wang, Ruixuan Xiao, et al.2024 · 237 citations
- TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
- Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2arXiv:2311.10702Hamish Ivison, Yizhong Wang, Valentina Pyatkin, et al.2023 · 207 citations
- AgentTuning: Enabling Generalized Agent Abilities for LLMsarXiv:2310.12823Aohan Zeng, Mingdao Liu, Rui Lu, et al.2023 · 163 citations
- How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data CompositionAnnual Meeting of the Association for Computational Linguistics (ACL)Guanting Dong, Hongyi Yuan, Keming Lu, et al.2024 · 145 citations
- InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological InterviewsAnnual Meeting of the Association for Computational Linguistics (ACL)Xintao Wang, Yunze Xiao, Jen-tse Huang, et al.2024 · 121 citations
- Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Keming Lu, Bowen Yu, Chang Zhou, et al.2024 · 86 citations
- ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language ModelsarXiv:2402.11684Guiming Hardy Chen, Shunian Chen, Ruifei Zhang, et al.2024 · 62 citations
- Unintended Impacts of LLM Alignment on Global RepresentationAnnual Meeting of the Association for Computational Linguistics (ACL)Michael J Ryan, William Held, Diyi Yang2024 · 57 citations
- Stable LM 2 1.6B Technical ReportarXiv:2402.17834Marco Bellagente, Jonathan Tow, Dakota Mahan, et al.2024 · 46 citations
- Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language ModelsarXiv:2404.02823Haoran Sun, Lixin Liu, Junjie Li, et al.2024 · 40 citations
- Observational Scaling Laws and the Predictability of Language Model PerformancearXiv:2405.10938Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 40 citations
- Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanchi Zhang, Yile Wang, Zijun Liu, et al.2024 · 30 citations
- FuseChat: Knowledge Fusion of Chat ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Fanqi Wan, Longguang Zhong, Ziyi Yang, et al.2025 · 25 citations
- ArabicNLU 2024: The First Arabic Natural Language Understanding Shared TaskArabic Natural Language Processing Conference (ArabicNLP)Mohammed Khalilia, Sanad Malaysha, Reem Suwaileh, et al.2024 · 19 citations
- Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chao Xue, Yao Wang, Mengqiao Liu, et al.2026 · 6 citations
- Harnessing Consistency for Robust Test-Time LLM EnsembleFindings of the Association for Computational LinguisticsZhichen Zeng, Qi Yu, Xiao Lin, et al.2026 · 2 citations
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