Who cites Andres Codas
- Instruction Tuning for Large Language Models: A SurveyACM Computing SurveysShengyu Zhang, Linfeng Dong, Xiaoya Li, et al.2023 · 520 citations
- Large Language Models: A SurveyarXiv:2402.06196Shervin Minaee, Tomas Mikolov, Narjes Nikzad, et al.2024 · 471 citations
- Kimi K2: Open Agentic IntelligencearXiv:2507.20534Kimi Team, Yifan Bai, Yiping Bao, et al.2025 · 347 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
- Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Oded Ovadia, Menachem Brief, Moshik Mishaeli, et al.2024 · 206 citations
- A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and TrustworthinessACM Transactions on Intelligent Systems and TechnologyFali Wang, Zhiwei Zhang, Xianren Zhang, et al.2024 · 159 citations
- Scientific Large Language Models: A Survey on Biological & Chemical DomainsACM Computing SurveysQiang Zhang, Keyang Ding, Tianwen Lyv, et al.2024 · 154 citations
- Orca-Math: Unlocking the potential of SLMs in Grade School MatharXiv:2402.14830Arindam Mitra, Hamed Khanpour, Corby Rosset, et al.2024 · 111 citations
- ToolACE: Winning the Points of LLM Function CallingarXiv:2409.00920Weiwen Liu; Xu Huang; Xingshan Zeng; Xinlong Hao; Shuai Yu; Dexun Li; Shuai Wang; Weinan Gan; Zhengying Liu; Yuanqing Yu; Zezhong Wang; Yuxian Wang; Wu Ning; Yutai Hou; Bin Wang; Chuhan Wu; Xinzhi Wang; Yong Liu; Yasheng Wang; Duyu Tang; Dandan Tu; Lifeng Shang; Xin Jiang; Ruiming Tang; Defu Lian; Qun Liu;, Enhong Chen2024 · 101 citations
- Multi-Agent Collaboration Mechanisms: A Survey of LLMsarXiv:2501.06322Khanh-Tung Tran, Dung Dao, Minh-Duong Nguyen, et al.2025 · 95 citations
- Advancing LLM Reasoning Generalists with Preference TreesarXiv:2404.02078Lifan Yuan, Ganqu Cui, Hanbin Wang, et al.2024 · 94 citations
- Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 citations
- On Prompt-Driven Safeguarding for Large Language ModelsarXiv:2401.18018Chujie Zheng, Fan Yin, Hao Zhou, et al.2024 · 85 citations
- Is Self-Repair a Silver Bullet for Code Generation?arXiv:2306.09896Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, et al.2024 · 82 citations
- Benchmarking Benchmark Leakage in Large Language ModelsarXiv:2404.18824Ruijie Xu, Zengzhi Wang, Run-Ze Fan, et al.2024 · 73 citations
- C3oT: Generating Shorter Chain-of-Thought without Compromising EffectivenessProceedings of the AAAI Conference on Artificial IntelligenceYu Kang, Xianghui Sun, Liangyu Chen, et al.2024 · 66 citations
- Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language ModelsarXiv:2402.13064Haoran Li, Qingxiu Dong, Zhengyang Tang, et al.2024 · 65 citations
- Phi-4-reasoning Technical ReportarXiv:2504.21318Marah Abdin, Sahaj Agarwal, Ahmed Awadallah, et al.2025 · 64 citations
- Clover: Closed-Loop Verifiable Code GenerationLecture notes in computer scienceChuyue Sun, Ying Sheng, Oded Padon, et al.2024 · 56 citations
- Coder Reviewer Reranking for Code GenerationarXiv:2211.16490Tianyi Zhang, Tao Yu, Tatsunori B. Hashimoto, et al.2022 · 52 citations
- TinyGSM: achieving >80% on GSM8k with small language modelsarXiv:2312.09241Bingbin Liu, Sebastien Bubeck, Ronen Eldan, et al.2023 · 45 citations
- Direct Nash Optimization: Teaching Language Models to Self-Improve with General PreferencesarXiv:2404.03715Corby Rosset, Ching-An Cheng, Arindam Mitra, et al.2024 · 44 citations
- AgentInstruct: Toward Generative Teaching with Agentic FlowsarXiv:2407.03502Arindam Mitra, Luciano Del Corro, Guoqing Zheng, et al.2024 · 42 citations
- Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Nisarg Patel, Mohith Kulkarni, Mihir Parmar, et al.2024 · 39 citations
- Functional Benchmarks for Robust Evaluation of Reasoning Performance, and the Reasoning GaparXiv:2402.19450Saurabh Srivastava, Annarose M B, Anto P, et al.2024 · 35 citations
- NExT: Teaching Large Language Models to Reason about Code ExecutionarXiv:2404.14662Ansong Ni, Miltiadis Allamanis, Arman Cohan, et al.2024 · 30 citations
- LangBridge: Multilingual Reasoning Without Multilingual SupervisionAnnual Meeting of the Association for Computational Linguistics (ACL)Dongkeun Yoon, Joel Jang, Sungdong Kim, et al.2024 · 29 citations
- CodeTree: Agent-guided Tree Search for Code Generation with Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jierui Li, Hung Le, Yingbo Zhou, et al.2025 · 21 citations
- CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and AugmentationTransactions of the Association for Computational Linguistics (TACL)Ingo Ziegler, Abdullatif Köksal, Desmond Elliott, et al.2025 · 20 citations
- RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented InstructionsConference on Empirical Methods in Natural Language Processing (EMNLP)Wanlong Liu, Junying Chen, Ke Ji, et al.2025 · 19 citations
- ALGO: Synthesizing Algorithmic Programs with LLM-Generated Oracle VerifiersarXiv:2305.14591Kexun Zhang, Danqing Wang, Jingtao Xia, et al.2023 · 19 citations
- Towards Reasoning Ability of Small Language ModelsarXiv:2502.11569Gaurav Srivastava, Shuxiang Cao, Xuan Wang2025 · 16 citations
- What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient PerspectiveAnnual Meeting of the Association for Computational Linguistics (ACL)Ming Li, Yanhong Li, Tianyi Zhou2025 · 15 citations
- Language Resources for Dutch Large Language ModellingarXiv:2312.12852Bram Vanroy2023 · 15 citations
- Pre-training Distillation for Large Language Models: A Design Space ExplorationAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Peng, Xin Lv, Yushi Bai, et al.2025 · 14 citations
- Distilling LLM Agent into Small Models with Retrieval and Code ToolsarXiv:2505.17612Minki Kang, Jongwon Jeong, Seanie Lee, et al.2025 · 11 citations
- Knowledge Distillation of Black-Box Large Language ModelsarXiv:2401.07013Hongzhan Chen, Ruijun Chen, Yuqi Yi, et al.2024 · 10 citations
- Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM GeneralizationarXiv:2402.14270Xuxi Chen, Zhendong Wang, Daouda Sow, et al.2024 · 8 citations
- ArabicSense: A Benchmark for Evaluating Commonsense Reasoning in Arabic with Large Language ModelsWorkshop on Arabic Corpus LinguisticsSalima Lamsiyah, Kamyar Zeinalipour, Samir El amrany, et al.2025 · 7 citations
- LoopTool: Closing the Data–Training Loop for Robust LLM Tool CallsAnnual Meeting of the Association for Computational Linguistics (ACL)Kangning Zhang, Weiwen Liu, Wenxiang Jiao, et al.2026 · 6 citations
- Collaborative Multi-Agent Scripts Generation for Enhancing Imperfect-Information Reasoning in Murder Mystery GamesFindings of the Association for Computational LinguisticsKeyang Zhong, Junlin Xie, Hefeng Wu, et al.2026 · 5 citations
- DARS: Dynamic Action Re-Sampling to Enhance Coding Agent Performance by Adaptive Tree TraversalAnnual Meeting of the Association for Computational Linguistics (ACL)Vaibhav Aggarwal, Ojasv Kamal, Abhinav Japesh, et al.2025 · 4 citations
- Semantic Change Characterization with LLMs using RhetoricsProceedings for the International Workshop on Computational Approaches to Language ChangeJáder Martins Camboim de Sá, Jooyoung Lee, Marcos Da Silveira, et al.2026 · 3 citations
- CodeEvo: Interaction-Driven Synthesis of Code-centric Data through Hybrid and Iterative FeedbackAnnual Meeting of the Association for Computational Linguistics (ACL)Qiushi Sun, Jingyang Gong, Lei Li, et al.2026 · 1 citation
- Large Language Models for Citation Function ClassificationLanguage Resources and Evaluation Conference (LREC)Daniel Vodička, Pavel Kral, Christophe Cerisara, et al.2026 · 1 citation
- Scaling Test-Time Compute to Achieve IOI Gold Medal with Open-Weight ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mehrzad Samadi, Aleksander Ficek, Sean Narenthiran, et al.2026 · 1 citation
- DART: Mitigating Harm Drift in Difference-Aware LLMs via Distill-Audit-Repair TrainingFindings of the Association for Computational LinguisticsZiwen Pan, Zihan Liang, Jad Kabbara, et al.2026
- Extending Czech Aspect-Based Sentiment Analysis with Opinion Terms: Dataset and LLM BenchmarksLanguage Resources and Evaluation Conference (LREC)Jakub Šmíd, Pavel Priban, Pavel Kral2026
- MARD: Module-Aware Reasoning Distillation for Language Models with Adaptive SupervisionAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqi Yang, Jianjun Li, Zhibo Zhang, et al.2026
- SHARP: Self-adaptive Harmful Category-aware Prompt Generation for Black-box JailbreakingAnnual Meeting of the Association for Computational Linguistics (ACL)Yingjie Xue, Xingyou Xia, Jun Zhang, et al.2026
- SynthAgent: Adapting Web Agents with Synthetic SupervisionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaoyang Wang, Yiming Liang, Xuchao Zhang, et al.2026
- The Challenge of Identifying the Origin of Black-Box Large Language ModelsWorkshop on Privacy in Natural Language ProcessingZiqing Yang, Yixin Wu, Yun Shen, et al.2026
- What the Router Sees Matters: Funnel Pooling for Fast, Content Driven Expert RoutingConference of the European Chapter of the Association for Computational Linguistics (EACL)Josef Pichlmeier, Sebastian Nicolas Mueller, Jakob Sturm, et al.2026
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