--- title: "Papers of 2024 — page 9 — 1,657 papers, the most cited first" description: "Papers of 2024: 1,657 papers of the Elamur Research library — what each work is about in our own words, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/papers/2024/page/9/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/2024/page/9/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / 2024 # Papers of 2024 — page 9 1,657 papers · [papers of all years](https://md.research.elamur.ai/free/en/papers/) [← prev](https://md.research.elamur.ai/free/en/papers/2024/page/8/) [1](https://md.research.elamur.ai/free/en/papers/2024/) … [8](https://md.research.elamur.ai/free/en/papers/2024/page/8/) **9** [10](https://md.research.elamur.ai/free/en/papers/2024/page/10/) … [17](https://md.research.elamur.ai/free/en/papers/2024/page/17/) [next →](https://md.research.elamur.ai/free/en/papers/2024/page/10/) **[Maverick: Efficient and Accurate Coreference Resolution Defying Recent Trends](https://md.research.elamur.ai/free/en/papers/martinelli-2024-maverick-efficient-accurate-coreference-resolution/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Giuliano Martinelli, Edoardo Barba, Roberto Navigli*2024 · 36 citations* - [Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language Models arXiv:2407.07263](https://md.research.elamur.ai/free/en/papers/parmar-2024-reuse-don-t-retrain-recipe/) — Jupinder Parmar, Sanjev Satheesh, Mostofa Patwary, et al. · 2024 · 36 citations - [SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models arXiv:2406.09098](https://md.research.elamur.ai/free/en/papers/feng-2024-sciknoweval-evaluating-multi-level-scientific/) — Kehua Feng, Xinyi Shen, Weijie Wang, et al. · 2024 · 36 citations - [Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding arXiv:2405.08748](https://md.research.elamur.ai/free/en/papers/li-2024-hunyuan-dit-powerful-multi/) — Zhimin Li, Jianwei Zhang, Qin Lin, et al. · 2024 · 35 citations - [MambaByte: Token-free Selective State Space Model arXiv:2401.13660](https://md.research.elamur.ai/free/en/papers/wang-2024-mambabyte-token-free-selective-state/) — Junxiong Wang, Tushaar Gangavarapu, Jing Nathan Yan, et al. · 2024 · 35 citations - [Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries arXiv:2409.12640](https://md.research.elamur.ai/free/en/papers/vodrahalli-2024-michelangelo-long-context-evaluations-haystacks/) — Kiran Vodrahalli; Santiago Ontanon; Nilesh Tripuraneni; Kelvin Xu; Sanil Jain; Rakesh Shivanna; Jeffrey Hui; Nishanth Dikkala; Mehran Kazemi; Bahare Fatemi; Rohan Anil; Ethan Dyer; Siamak Shakeri; Roopali Vij; Harsh Mehta; Vinay Ramasesh; Quoc Le; Ed Chi; Yifeng Lu; Orhan Firat; Angeliki Lazaridou; Jean-Baptiste Lespiau; Nithya Attaluri;, Kate Olszewska · 2024 · 35 citations - [On the Diversity of Synthetic Data and its Impact on Training Large Language Models arXiv:2410.15226](https://md.research.elamur.ai/free/en/papers/chen-2024-diversity-synthetic-data-impact-training/) — Hao Chen, Abdul Waheed, Xiang Li, et al. · 2024 · 35 citations - [SarcasmBench: Towards Evaluating Large Language Models on Sarcasm Understanding arXiv:2408.11319](https://md.research.elamur.ai/free/en/papers/zhang-2024-sarcasmbench-towards-evaluating-large-language/) — Yazhou Zhang, Chunwang Zou, Zheng Lian, et al. · 2024 · 35 citations **[Scope Ambiguities in Large Language Models](https://md.research.elamur.ai/free/en/papers/kamath-2024-scope-ambiguities-large-language-models/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Gaurav Kamath, Sebastian Schuster, Sowmya Vajjala, et al.*2024 · 35 citations* **[Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models](https://md.research.elamur.ai/free/en/papers/ranaldi-2024-self-refine-instruction-tuning-aligning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Leonardo Ranaldi, Andre Freitas*2024 · 35 citations* - [Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs arXiv:2402.12030 · Transactions on Machine Learning Research, January 2025](https://md.research.elamur.ai/free/en/papers/boizard-2024-towards-cross-tokenizer-distillation-universal/) — Nicolas Boizard, Kevin El Haddad, Celine Hudelot, et al. · 2024 · 35 citations - [Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models arXiv:2411.07140](https://md.research.elamur.ai/free/en/papers/he-2024-chinese-simpleqa-chinese-factuality/) — Yancheng He, Shilong Li, Jiaheng Liu, et al. · 2024 · 34 citations **[CompAct: Compressing Retrieved Documents Actively for Question Answering](https://md.research.elamur.ai/free/en/papers/yoon-2024-compact-compressing-retrieved-documents-actively/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chanwoong Yoon, Taewhoo Lee, Hyeon Hwang, et al.*2024 · 34 citations* **[Computational Politeness in Natural Language Processing: A Survey](https://md.research.elamur.ai/free/en/papers/priya-2024-computational-politeness-natural-language-processing/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Priyanshu Priya, Mauajama Firdaus, Asif Ekbal*2024 · 34 citations* **[Fire-Flyer AI-HPC: A Cost-Effective Software-Hardware Co-Design for Deep Learning](https://md.research.elamur.ai/free/en/papers/an-2024-fire-flyer-ai-hpc/) [2012 International Conference for High Performance Computing, Networking, Storage and Analysis](https://md.research.elamur.ai/free/en/venues/2012-international-conference-for-high-performance-computing-networking-storage/)**Wei An, Xiao Bi, Guanting Chen, et al.*2024 · 34 citations* **[Language Varieties of Italy: Technology Challenges and Opportunities](https://md.research.elamur.ai/free/en/papers/ramponi-2024-language-varieties-italy-technology-challenges/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Alan Ramponi*2024 · 34 citations* **[mCoT: Multilingual Instruction Tuning for Reasoning Consistency in Language Models](https://md.research.elamur.ai/free/en/papers/lai-2024-mcot-multilingual-instruction-tuning-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Huiyuan Lai, Malvina Nissim*2024 · 34 citations* **[Retrieval-Augmented Multilingual Knowledge Editing](https://md.research.elamur.ai/free/en/papers/wang-2024-retrieval-augmented-multilingual-knowledge-editing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weixuan Wang, Barry Haddow, Alexandra Birch*2024 · 34 citations* - [Symbolic Learning Enables Self-Evolving Agents arXiv:2406.18532](https://md.research.elamur.ai/free/en/papers/zhou-2024-symbolic-learning-enables-self-evolving/) — Wangchunshu Zhou, Yixin Ou, Shengwei Ding, et al. · 2024 · 34 citations **[Is Sarcasm Detection A Step-by-Step Reasoning Process in Large Language Models?](https://md.research.elamur.ai/free/en/papers/yao-2024-sarcasm-detection-step-step-reasoning/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Ben Yao, Yazhou Zhang, Qiuchi Li, et al.*2024 · 33 citations* **[Leveraging Generative Large Language Models with Visual Instruction and Demonstration Retrieval for Multimodal Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/tang-2024-leveraging-generative-large-language-models/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Binghao Tang, Boda Lin, Haolong Yan, et al.*2024 · 33 citations* - [Me LLaMA: Foundation Large Language Models for Medical Applications arXiv:2402.12749](https://md.research.elamur.ai/free/en/papers/xie-2024-me-llama-foundation-large-language/) — Qianqian Xie, Qingyu Chen, Aokun Chen, et al. · 2024 · 33 citations **[Over-Reasoning and Redundant Calculation of Large Language Models](https://md.research.elamur.ai/free/en/papers/chiang-2024-over-reasoning-redundant-calculation-large/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Cheng-Han Chiang, Hung-yi Lee*2024 · 33 citations* - [SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety arXiv:2404.05399](https://md.research.elamur.ai/free/en/papers/rottger-2024-safetyprompts-systematic-review-open-datasets/) — Paul Rottger, Fabio Pernisi, Bertie Vidgen, et al. · 2024 · 33 citations **[So Hateful! Building a Multi-Label Hate Speech Annotated Arabic Dataset](https://md.research.elamur.ai/free/en/papers/zaghouani-2024-so-hateful-building-multi-label/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Wajdi Zaghouani, Hamdy Mubarak, Md. Rafiul Biswas*2024 · 33 citations* **[ArAIEval Shared Task: Propagandistic Techniques Detection in Unimodal and Multimodal Arabic Content](https://md.research.elamur.ai/free/en/papers/hasanain-2024-araieval-shared-task-propagandistic-techniques/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Maram Hasanain, Md. Arid Hasan, Fatema Ahmad, et al.*2024 · 32 citations* **[ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews](https://md.research.elamur.ai/free/en/papers/arcy-2024-aries-corpus-scientific-paper-edits/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mike D'Arcy, Alexis Ross, Erin Bransom, et al.*2024 · 32 citations* **[Detection and Measurement of Syntactic Templates in Generated Text](https://md.research.elamur.ai/free/en/papers/shaib-2024-detection-measurement-syntactic-templates-generated/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chantal Shaib, Yanai Elazar, Junyi Jessy Li, et al.*2024 · 32 citations* **[Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains](https://md.research.elamur.ai/free/en/papers/zouhar-2024-fine-tuned-machine-translation-metrics/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Vilém Zouhar, Shuoyang Ding, Anna Currey, et al.*2024 · 32 citations* **[Improving Retrieval Augmented Language Model with Self-Reasoning](https://md.research.elamur.ai/free/en/papers/xia-2024-improving-retrieval-augmented-language-model/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Yuan Xia, Jingbo Zhou, Zhenhui Shi, et al.*2024 · 32 citations* **[SelfCodeAlign: Self-Alignment for Code Generation](https://md.research.elamur.ai/free/en/papers/wei-2024-selfcodealign-self-alignment-code-generation/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yuxiang Wei, Federico Cassano, Jiawei Liu, et al.*2024 · 32 citations* - [A Survey of Small Language Models arXiv:2410.20011](https://md.research.elamur.ai/free/en/papers/nguyen-2024-survey-small-language-models/) — Chien Van Nguyen, Xuan Shen, Ryan Aponte, et al. · 2024 · 31 citations - [Airavata: Introducing Hindi Instruction-tuned LLM arXiv:2401.15006](https://md.research.elamur.ai/free/en/papers/gala-2024-airavata-introducing-hindi-instruction-tuned/) — Jay Gala, Thanmay Jayakumar, Jaavid Aktar Husain, et al. · 2024 · 31 citations **[Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing](https://md.research.elamur.ai/free/en/papers/jiao-2024-learning-planning-based-reasoning-trajectories/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Fangkai Jiao, Chengwei Qin, Zhengyuan Liu, et al.*2024 · 31 citations* - [Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models arXiv:2401.04658](https://md.research.elamur.ai/free/en/papers/qin-2024-lightning-attention-2-free/) — Zhen Qin, Weigao Sun, Dong Li, et al. · 2024 · 31 citations **[Modeling Gender and Dialect Bias in Automatic Speech Recognition](https://md.research.elamur.ai/free/en/papers/harris-2024-modeling-gender-dialect-bias-automatic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Camille Harris, Chijioke Mgbahurike, Neha Kumar, et al.*2024 · 31 citations* **[Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations](https://md.research.elamur.ai/free/en/papers/hagele-2024-scaling-laws-compute-optimal-training/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Alexander Hägele, Elie Bakouch, Atli Kosson, et al.*2024 · 31 citations* - [Weaver: Foundation Models for Creative Writing arXiv:2401.17268](https://md.research.elamur.ai/free/en/papers/wang-2024-weaver-foundation-models-creative-writing/) — Tiannan Wang; Jiamin Chen; Qingrui Jia; Shuai Wang; Ruoyu Fang; Huilin Wang; Zhaowei Gao; Chunzhao Xie; Chuou Xu; Jihong Dai; Yibin Liu; Jialong Wu; Shengwei Ding; Long Li; Zhiwei Huang; Xinle Deng; Teng Yu; Gangan Ma; Han Xiao; Zixin Chen; Danjun Xiang; Yunxia Wang; Yuanyuan Zhu; Yi Xiao; Jing Wang; Yiru Wang; Siran Ding; Jiayang Huang; Jiayi Xu; Yilihamu Tayier; Zhenyu Hu; Yuan Gao; Chengfeng Zheng; Yueshu Ye; Yihang Li; Lei Wan; Xinyue Jiang; Yujie Wang; Siyu Cheng; Zhule Song; Xiangru Tang; Xiaohua Xu; Ningyu Zhang; Huajun Chen; Yuchen Eleanor Jiang;, Wangchunshu Zhou · 2024 · 31 citations **[AraFinNLP 2024: The First Arabic Financial NLP Shared Task](https://md.research.elamur.ai/free/en/papers/malaysha-2024-arafinnlp-2024-first-arabic-financial/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Sanad Malaysha, Mo El-Haj, Saad Ezzini, et al.*2024 · 30 citations* - [ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline arXiv:2404.02893](https://md.research.elamur.ai/free/en/papers/xu-2024-chatglm-math-improving-math/) — Yifan Xu, Xiao Liu, Xinghan Liu, et al. · 2024 · 30 citations **[CIDAR: Culturally Relevant Instruction Dataset For Arabic](https://md.research.elamur.ai/free/en/papers/alyafeai-2024-cidar-culturally-relevant-instruction-dataset/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zaid Alyafeai, Khalid Almubarak, Ahmed Ashraf, et al.*2024 · 30 citations* **[Contextualization Distillation from Large Language Model for Knowledge Graph Completion](https://md.research.elamur.ai/free/en/papers/li-2024-contextualization-distillation-large-language-model/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dawei Li, Zhen Tan, Tianlong Chen, et al.*2024 · 30 citations* - [Dynamic Evaluation of Large Language Models by Meta Probing Agents arXiv:2402.14865](https://md.research.elamur.ai/free/en/papers/zhu-2024-dynamic-evaluation-large-language-models/) — Kaijie Zhu, Jindong Wang, Qinlin Zhao, et al. · 2024 · 30 citations **[Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages](https://md.research.elamur.ai/free/en/papers/zhang-2024-enhancing-multilingual-capabilities-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuanchi Zhang, Yile Wang, Zijun Liu, et al.*2024 · 30 citations* - [Jamba-1.5: Hybrid Transformer-Mamba Models at Scale arXiv:2408.12570](https://md.research.elamur.ai/free/en/papers/lenz-2024-jamba-1-5-hybrid-transformer/) — Jamba Team: Barak Lenz, Alan Arazi, Amir Bergman, et al. · 2024 · 30 citations - [Language Models as Science Tutors arXiv:2402.11111](https://md.research.elamur.ai/free/en/papers/chevalier-2024-language-models-science-tutors/) — Alexis Chevalier, Jiayi Geng, Alexander Wettig, et al. · 2024 · 30 citations **[MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language Modeling](https://md.research.elamur.ai/free/en/papers/limisiewicz-2024-myte-morphology-driven-byte-encoding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tomasz Limisiewicz, Terra Blevins, Hila Gonen, et al.*2024 · 30 citations* - [Nemotron-4 15B Technical Report arXiv:2402.16819](https://md.research.elamur.ai/free/en/papers/parmar-2024-nemotron-4-15b-technical-report/) — Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, et al. · 2024 · 30 citations **[ProxyQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models](https://md.research.elamur.ai/free/en/papers/tan-2024-proxyqa-alternative-framework-evaluating-long/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haochen Tan, Zhijiang Guo, Zhan Shi, et al.*2024 · 30 citations* **[Reading Subtext: Evaluating Large Language Models on Short Story Summarization with Writers](https://md.research.elamur.ai/free/en/papers/subbiah-2024-reading-subtext-evaluating-large-language/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Melanie Subbiah, Sean Zhang, Lydia B. Chilton, et al.*2024 · 30 citations* - [RMB: Comprehensively Benchmarking Reward Models in LLM Alignment arXiv:2410.09893](https://md.research.elamur.ai/free/en/papers/zhou-2024-rmb-comprehensively-benchmarking-reward-models/) — Enyu Zhou, Guodong Zheng, Binghai Wang, et al. · 2024 · 30 citations - [SpeechVerse: A Large-scale Generalizable Audio Language Model arXiv:2405.08295](https://md.research.elamur.ai/free/en/papers/das-2024-speechverse-large-scale-generalizable-audio/) — Nilaksh Das, Saket Dingliwal, Srikanth Ronanki, et al. · 2024 · 30 citations **[The SAMER Arabic Text Simplification Corpus](https://md.research.elamur.ai/free/en/papers/alhafni-2024-samer-arabic-text-simplification-corpus/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Bashar Alhafni, Reem Hazim, Juan David Pineros Liberato, et al.*2024 · 30 citations* **[DOSA: A Dataset of Social Artifacts from Different Indian Geographical Subcultures](https://md.research.elamur.ai/free/en/papers/seth-2024-dosa-dataset-social-artifacts-different/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Agrima Seth, Sanchit Ahuja, Kalika Bali, et al.*2024 · 29 citations* - [Efficient and Effective Vocabulary Expansion Towards Multilingual Large Language Models arXiv:2402.14714](https://md.research.elamur.ai/free/en/papers/kim-2024-efficient-effective-vocabulary-expansion-towards/) — Seungduk Kim, Seungtaek Choi, Myeongho Jeong · 2024 · 29 citations **[LangBridge: Multilingual Reasoning Without Multilingual Supervision](https://md.research.elamur.ai/free/en/papers/yoon-2024-langbridge-multilingual-reasoning-without-multilingual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dongkeun Yoon, Joel Jang, Sungdong Kim, et al.*2024 · 29 citations* - [Log Probabilities Are a Reliable Estimate of Semantic Plausibility in Base and Instruction-Tuned Language Models arXiv:2403.14859](https://md.research.elamur.ai/free/en/papers/kauf-2024-log-probabilities-reliable-estimate-semantic/) — Carina Kauf, Emmanuele Chersoni, Alessandro Lenci, et al. · 2024 · 29 citations - [NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens arXiv:2403.12766](https://md.research.elamur.ai/free/en/papers/wang-2024-novelqa-benchmarking-question-answering-documents/) — Cunxiang Wang, Ruoxi Ning, Boqi Pan, et al. · 2024 · 29 citations **[ArabLegalEval: A Multitask Benchmark for Assessing Arabic Legal Knowledge in Large Language Models](https://md.research.elamur.ai/free/en/papers/hijazi-2024-arablegaleval-multitask-benchmark-assessing-arabic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Faris Hijazi, Somayah AlHarbi, Abdulaziz AlHussein, et al.*2024 · 28 citations* **[ArMeme: Propagandistic Content in Arabic Memes](https://md.research.elamur.ai/free/en/papers/alam-2024-armeme-propagandistic-content-arabic-memes/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Firoj Alam, Abul Hasnat, Fatema Ahmad, et al.*2024 · 28 citations* **[Automatic Instruction Evolving for Large Language Models](https://md.research.elamur.ai/free/en/papers/zeng-2024-automatic-instruction-evolving-large-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Weihao Zeng, Can Xu, Yingxiu Zhao, et al.*2024 · 28 citations* **[AutoPSV: Automated Process-Supervised Verifier](https://md.research.elamur.ai/free/en/papers/lu-2024-autopsv-automated-process-supervised-verifier/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Jianqiao Lu, Zhiyang Dou, Hongru Wang, et al.*2024 · 28 citations* **[BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting Evidence](https://md.research.elamur.ai/free/en/papers/jin-2024-bider-bridging-knowledge-inconsistency-efficient/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiajie Jin, Yutao Zhu, Yujia Zhou, et al.*2024 · 28 citations* - [Can Language Models Solve Olympiad Programming? 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