--- title: "Papers of 2024 — page 1" description: "Papers of 2024: 383 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/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/2024/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / 2024 # Papers of 2024 — page 1 383 papers · [all years](https://md.research.elamur.ai/free/en/papers/) **1** [2](https://md.research.elamur.ai/free/en/papers/2024/page/2/) [3](https://md.research.elamur.ai/free/en/papers/2024/page/3/) [4](https://md.research.elamur.ai/free/en/papers/2024/page/4/) - [Lions: 1 and Tigers: 2 and Bears: 3, Oh My! Literary Coreference Annotation with LLMs](https://md.research.elamur.ai/free/en/papers/hicke-2024-lions-1-tigers-2-bears/) — Rebecca Hicke, David Mimno · Proceedings of the 8th Joint SIGHUM Workshop on… - [A Canonical Form for Flexible Multiword Expressions](https://md.research.elamur.ai/free/en/papers/odijk-2024-canonical-form-flexible-multiword-expressions/) — Jan Odijk, Martin Kroon · Proceedings of the 2024 Joint International… - [A Challenge Dataset and Effective Models for Conversational Stance Detection](https://md.research.elamur.ai/free/en/papers/niu-2024-challenge-dataset-effective-models-conversational/) — Fuqiang Niu, Min Yang, Ang Li, et al. · Proceedings of the 2024 Joint International… - [A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models](https://md.research.elamur.ai/free/en/papers/tonmoy-2024-comprehensive-survey-hallucination-mitigation-techniques/) — S.M Towhidul Islam Tonmoy, S M Mehedi Zaman, Vinija Jain, et al. · arXiv:2401.01313 - [A Controlled Reevaluation of Coreference Resolution Models](https://md.research.elamur.ai/free/en/papers/porada-2024-controlled-reevaluation-coreference-resolution-models/) — Ian Porada, Xiyuan Zou, Jackie Chi Kit Cheung · Proceedings of the 2024 Joint International… - [A Corpus for Sentence-Level Subjectivity Detection on English News Articles](https://md.research.elamur.ai/free/en/papers/antici-2024-corpus-sentence-level-subjectivity-detection/) — Francesco Antici, Federico Ruggeri, Andrea Galassi, et al. · Proceedings of the 2024 Joint International… - [A Dataset for Metaphor Detection in Early Medieval Hebrew Poetry](https://md.research.elamur.ai/free/en/papers/eacl-2024-toker-dataset-metaphor-detection-early-medieval/) — Michael Toker, Oren Mishali, Ophir Münz-Manor, et al. · Ancient Hebrew - [A First Look at the Ugaritic Poetic Text Corpus](https://md.research.elamur.ai/free/en/papers/lingbulk-2024-donicke-first-look-ugaritic-poetic-text/) — Tillmann Dönicke, Clemens Steinberger, Max-Ferdinand Zeterberg, et al. · Ancient Hebrew - [A Hard Nut to Crack: Idiom Detection with Conversational Large Language Models](https://md.research.elamur.ai/free/en/papers/fornaciari-2024-hard-nut-crack-idiom-detection/) — Francesca De Luca Fornaciari, Begoña Altuna, Itziar Gonzalez-Dios, et al. · Proceedings of the 4th Workshop on Figurative… - [A Language Modeling Approach to Diacritic-Free Hebrew TTS](https://md.research.elamur.ai/free/en/papers/langstream-2024-roth-language-modeling-approach-diacritic-free/) — Amit Roth, Arnon Turetzky, Yossi Adi · Modern Hebrew - [A Language-agnostic Model of Child Language Acquisition](https://md.research.elamur.ai/free/en/papers/langstream-2024-mahon-language-agnostic-model-child-language/) — Louis Mahon, Omri Abend, Uri Berger, et al. · Modern Hebrew - [A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution](https://md.research.elamur.ai/free/en/papers/ding-2024-rationale-centric-counterfactual-data-augmentation/) — Bowen Ding, Qingkai Min, Shengkun Ma, et al. · Proceedings of the 2024 Conference of the North… - [A Roadmap to Pluralistic Alignment](https://md.research.elamur.ai/free/en/papers/sorensen-2024-roadmap-pluralistic-alignment/) — Taylor Sorensen, Jared Moore, Jillian Fisher, et al. · arXiv:2402.05070 - [A Survey on Large Language Models for Code Generation](https://md.research.elamur.ai/free/en/papers/jiang-2024-survey-large-language-models-code/) — Juyong Jiang, Fan Wang, Jiasi Shen, et al. · arXiv:2406.00515 - [A Survey on Model Compression for Large Language Models](https://md.research.elamur.ai/free/en/papers/zhu-2024-survey-model-compression-large-language/) — Xunyu Zhu, Jian Li, Yong Liu, et al. · Transactions of the Association for… - [A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models](https://md.research.elamur.ai/free/en/papers/fan-2024-survey-rag-meeting-llms-towards/) — Wenqi Fan; Yujuan Ding; Liangbo Ning; Shijie Wang; Hengyun Li; Dawei Yin; Tat-Seng Chua;, Qing Li · arXiv:2405.06211 - [A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications](https://md.research.elamur.ai/free/en/papers/sahoo-2024-systematic-survey-prompt-engineering-large/) — Pranab Sahoo; Ayush Kumar Singh; Sriparna Saha; Vinija Jain; Samrat Mondal;, Aman Chadha · arXiv:2402.07927 - [A Truly Joint Neural Architecture for Segmentation and Parsing](https://md.research.elamur.ai/free/en/papers/eacl-2024-levi-truly-joint-neural-architecture-segmentation/) — Danit Yshaayahu Levi, Reut Tsarfaty · Modern Hebrew - [A Universal Dependencies Treebank for Nheengatu](https://md.research.elamur.ai/free/en/papers/alencar-2024-universal-dependencies-treebank-nheengatu/) — de Alencar, Leonel Figueiredo · Proceedings of the 16th International… - [Aalamaram: A Large-Scale Linguistically Annotated Treebank for the Tamil Language](https://md.research.elamur.ai/free/en/papers/abirami-2024-aalamaram-large-scale-linguistically-annotated/) — A M Abirami, Wei Qi Leong, Hamsawardhini Rengarajan, et al. · Proceedings of the 7th Workshop on Indian… - [Adapting LLMs to Hebrew: Unveiling DictaLM 2.0 with Enhanced Vocabulary and Instruction Capabilities](https://md.research.elamur.ai/free/en/papers/arxivrecent-2024-shmidman-adapting-llms-hebrew-unveiling-dictalm/) — Shaltiel Shmidman, Avi Shmidman, Amir DN Cohen, et al. · Modern Hebrew - [Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity](https://md.research.elamur.ai/free/en/papers/jeong-2024-adaptive-rag-learning-adapt-retrieval/) — Soyeong Jeong, Jinheon Baek, Sukmin Cho, et al. · Proceedings of the 2024 Conference of the North… - [AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models](https://md.research.elamur.ai/free/en/papers/zhong-2024-agieval-human-centric-benchmark-evaluating/) — Wanjun Zhong, Ruixiang Cui, Yiduo Guo, et al. · Findings of the Association for Computational… - [ALLaM: Large Language Models for Arabic and English](https://md.research.elamur.ai/free/en/papers/bari-2024-allam-large-language-models-arabic/) — M Saiful Bari, Yazeed Alnumay, Norah A. Alzahrani, et al. · arXiv:2407.15390 - [Allen Institute for AI @ SIGTYP 2024 Shared Task on Word Embedding Evaluation for Ancient and Historical Languages](https://md.research.elamur.ai/free/en/papers/ud-2024-miranda-allen-institute-ai-sigtyp-2024/) — Lester James V. Miranda · Ancient Hebrew - [AlphaMath Almost Zero: Process Supervision without Process](https://md.research.elamur.ai/free/en/papers/chen-2024-alphamath-almost-zero-process-supervision/) — Guoxin Chen, Minpeng Liao, Chengxi Li, et al. · arXiv:2405.03553 - [An Empirical Study of Synthetic Data Generation for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/omura-2024-empirical-study-synthetic-data-generation/) — Kazumasa Omura, Fei Cheng, Sadao Kurohashi · Proceedings of the 2024 Joint International… - [An Empirical Study on Vague Deictic Temporal Adverbials](https://md.research.elamur.ai/free/en/papers/kenneweg-2024-empirical-study-vague-deictic-temporal/) — Svenja Kenneweg, Brendan Balcerak Jackson, Joerg Deigmoeller, et al. · English - [An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models](https://md.research.elamur.ai/free/en/papers/chen-2024-image-worth-1-2-tokens/) — Liang Chen, Haozhe Zhao, Tianyu Liu, et al. · arXiv:2403.06764 - [Analyzing Politeness in Arabic Tweets: A Preliminary Study](https://md.research.elamur.ai/free/en/papers/khalifa-2024-analyzing-politeness-arabic-tweets-preliminary/) — Hend Al-Khalifa, Nadia Ghezaiel, Maria Bounnit · Proceedings of the 7th International Conference… - [Ancient but Digitized: Developing Handwritten Optical Character Recognition for East Syriac Script Through Creating KHAMIS Dataset](https://md.research.elamur.ai/free/en/papers/langstream-2024-majeed-ancient-but-digitized-developing-handwritten/) — Ameer Majeed, Hossein Hassani · Aramaic - [Annotating FrameNet via Structure-Conditioned Language Generation](https://md.research.elamur.ai/free/en/papers/cui-2024-annotating-framenet-structure-conditioned-language/) — Xinyue Cui, Swabha Swayamdipta · Proceedings of the 62nd Annual Meeting of the… - [Annotation de la continuité référentielle dans un corpus scolaire – premiers résultats](https://md.research.elamur.ai/free/en/papers/barletta-2024-annotation-de-la-continuite-referentielle/) — Martina Barletta · Actes de la 26ème Rencontre des Étudiants… - [Annotation Scheme for English Argument Structure Constructions Treebank](https://md.research.elamur.ai/free/en/papers/bank-2024-sung-annotation-scheme-english-argument-structure/) — Hakyung Sung, Kristopher Kyle · English - [Announcing the Prague Discourse Treebank 3.0](https://md.research.elamur.ai/free/en/papers/synkova-2024-announcing-prague-discourse-treebank-3/) — Pavlína Synková, Jiří Mírovský, Lucie Poláková, et al. · Proceedings of the 2024 Joint International… - [Applying Information-theoretic Notions to Measure Effects of the Plain English Movement on English Law Reports and Scientific Articles](https://md.research.elamur.ai/free/en/papers/bagdasarov-2024-applying-information-theoretic-notions-measure/) — Sergei Bagdasarov, Stefania Degaetano-Ortlieb · Proceedings of the 8th Joint SIGHUM Workshop on… - [Arabic Diacritization Using Morphologically Informed Character-Level Model](https://md.research.elamur.ai/free/en/papers/coling-2024-elmallah-arabic-diacritization-morphologically-informed-character/) — Muhammad Morsy Elmallah, Mahmoud Reda, Kareem Darwish, et al. · Semitic languages - [ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic](https://md.research.elamur.ai/free/en/papers/koto-2024-arabicmmlu-assessing-massive-multitask-language/) — Fajri Koto, Haonan Li, Sara Shatnawi, et al. · Findings of the Association for Computational… - [Are LLMs Breaking MT Metrics? Results of the WMT24 Metrics Shared Task](https://md.research.elamur.ai/free/en/papers/freitag-2024-are-llms-breaking-mt-metrics/) — Markus Freitag, Nitika Mathur, Daniel Deutsch, et al. · Proceedings of the Ninth Conference on Machine… - [Are We on the Right Way for Evaluating Large Vision-Language Models?](https://md.research.elamur.ai/free/en/papers/chen-2024-right-way-evaluating-large-vision/) — Lin Chen, Jinsong Li, Xiaoyi Dong, et al. · arXiv:2403.20330 - [Assessing the Capabilities of Large Language Models in Coreference: An Evaluation](https://md.research.elamur.ai/free/en/papers/gan-2024-assessing-capabilities-large-language-models/) — Yujian Gan, Massimo Poesio, Juntao Yu · Proceedings of the 2024 Joint International… - [Assessing the Cross-linguistic Utility of Abstract Meaning Representation](https://md.research.elamur.ai/free/en/papers/wein-2024-assessing-cross-linguistic-utility-abstract/) — Shira Wein, Nathan Schneider · Machine translation - [Assessing the Role of Context in Chat Translation Evaluation: Is Context Helpful and Under What Conditions?](https://md.research.elamur.ai/free/en/papers/agrawal-2024-assessing-role-context-chat-translation/) — Sweta Agrawal, Amin Farajian, Patrick Fernandes, et al. · Transactions of the Association for… - [At the Crossroad of Cuneiform and NLP: Challenges for Fine-grained Part-of-speech Tagging](https://md.research.elamur.ai/free/en/papers/coling-2024-smidt-crossroad-cuneiform-nlp-challenges-fine/) — Gustav Ryberg Smidt, Els Lefever, Katrien de Graef · Semitic languages - [Automated Cognate Detection as a Supervised Link Prediction Task with Cognate Transformer](https://md.research.elamur.ai/free/en/papers/akavarapu-2024-cognate-link-prediction/) — V.S.D.S.Mahesh Akavarapu, Arnab Bhattacharya · EACL 2024 (St. Julian's) - [Aya 23: Open Weight Releases to Further Multilingual Progress](https://md.research.elamur.ai/free/en/papers/aryabumi-2024-aya-23-open-weight-releases/) — Viraat Aryabumi, John Dang, Dwarak Talupuru, et al. · arXiv:2405.15032 - [Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning](https://md.research.elamur.ai/free/en/papers/singh-2024-aya-dataset-open-access-collection/) — Shivalika Singh, Freddie Vargus, Daniel D'souza, et al. · Proceedings of the 62nd Annual Meeting of the… - [Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier](https://md.research.elamur.ai/free/en/papers/dang-2024-aya-expanse-combining-research-breakthroughs/) — John Dang, Shivalika Singh, Daniel D'souza, et al. · arXiv:2412.04261 - [Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model](https://md.research.elamur.ai/free/en/papers/ustun-2024-aya-model-instruction-finetuned-open/) — Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al. · arXiv:2402.07827 - [Benchmarking Large Language Models for News Summarization](https://md.research.elamur.ai/free/en/papers/zhang-2024-benchmarking-large-language-models-news/) — Tianyi Zhang, Faisal Ladhak, Esin Durmus, et al. · Transactions of the Association for… - [Benchmarking Retrieval-Augmented Generation for Medicine](https://md.research.elamur.ai/free/en/papers/xiong-2024-benchmarking-retrieval-augmented-generation-medicine/) — Guangzhi Xiong, Qiao Jin, Zhiyong Lu, et al. · Findings of the Association for Computational… - [Beyond Correlation: Interpretable Evaluation of Machine Translation Metrics](https://md.research.elamur.ai/free/en/papers/perrella-2024-beyond-correlation-interpretable-evaluation-machine/) — Stefano Perrella, Lorenzo Proietti, Pere-Lluís Huguet Cabot, et al. · Machine translation - [Beyond Error Categories: A Contextual Approach of Evaluating Emerging Spell and Grammar Checkers](https://md.research.elamur.ai/free/en/papers/arnardottir-2024-beyond-error-categories-contextual-approach/) — Þórunn Arnardóttir, Svanhvít Lilja Ingólfsdóttir, Haukur Barri Símonarson, et al. · Proceedings of the 3rd Annual Meeting of the… - [Beyond Orthography: Automatic Recovery of Short Vowels and Dialectal Sounds in Arabic](https://md.research.elamur.ai/free/en/papers/acl-2024-kheir-beyond-orthography-automatic-recovery-short/) — Yassine El Kheir, Hamdy Mubarak, Ahmed Ali, et al. · Semitic languages - [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/) — Jiajie Jin, Yutao Zhu, Yujia Zhou, et al. · Findings of the Association for Computational… - [BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions](https://md.research.elamur.ai/free/en/papers/zhuo-2024-bigcodebench-benchmarking-code-generation-diverse/) — Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, et al. · arXiv:2406.15877 - [Bilingual Rhetorical Structure Parsing with Large Parallel Annotations](https://md.research.elamur.ai/free/en/papers/chistova-2024-bilingual-rhetorical-structure-parsing-large/) — Elena Chistova · Findings of the Association for Computational… - [BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains](https://md.research.elamur.ai/free/en/papers/labrak-2024-biomistral-collection-open-source-pretrained/) — Yanis Labrak, Adrien Bazoge, Emmanuel Morin, et al. · Findings of the Association for Computational… - [BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages](https://md.research.elamur.ai/free/en/papers/myung-2024-blend-benchmark-llms-everyday-knowledge/) — Junho Myung, Nayeon Lee, Yi Zhou, et al. · arXiv:2406.09948 - [Break the Sequential Dependency of LLM Inference Using Lookahead Decoding](https://md.research.elamur.ai/free/en/papers/fu-2024-break-sequential-dependency-llm-inference/) — Yichao Fu, Peter Bailis, Ion Stoica, et al. · arXiv:2402.02057 - [Bridging Cultural Nuances in Dialogue Agents through Cultural Value Surveys](https://md.research.elamur.ai/free/en/papers/cao-2024-bridging-cultural-nuances-dialogue-agents/) — Yong Cao, Min Chen, Daniel Hershcovich · Findings of the Association for Computational… - [Bridging Cultures in the Kitchen: A Framework and Benchmark for Cross-Cultural Recipe Retrieval](https://md.research.elamur.ai/free/en/papers/hu-2024-bridging-cultures-kitchen-framework-benchmark/) — Tianyi Hu, Maria Maistro, Daniel Hershcovich · Proceedings of the 2024 Conference on Empirical… - [Bridging the Preference Gap between Retrievers and LLMs](https://md.research.elamur.ai/free/en/papers/ke-2024-bridging-preference-gap-between-retrievers/) — Zixuan Ke, Weize Kong, Cheng Li, et al. · Proceedings of the 62nd Annual Meeting of the… - [Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs](https://md.research.elamur.ai/free/en/papers/tong-2024-cambrian-1-fully-open-vision/) — Shengbang Tong, Ellis Brown, Penghao Wu, et al. · arXiv:2406.16860 - [Camel Morph MSA: A Large-Scale Open-Source Morphological Analyzer for Modern Standard Arabic](https://md.research.elamur.ai/free/en/papers/coling-2024-khairallah-camel-morph-msa-large-scale/) — Christian Khairallah, Salam Khalifa, Reham Marzouk, et al. · Semitic languages - [Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers](https://md.research.elamur.ai/free/en/papers/si-2024-llms-generate-novel-research/) — Chenglei Si, Diyi Yang, Tatsunori Hashimoto · arXiv:2409.04109 - [Can we obtain significant success in RST discourse parsing by using Large Language Models?](https://md.research.elamur.ai/free/en/papers/maekawa-2024-can-we-obtain-significant-success/) — Aru Maekawa, Tsutomu Hirao, Hidetaka Kamigaito, et al. · Proceedings of the 18th Conference of the… - [Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders](https://md.research.elamur.ai/free/en/papers/zhang-2024-can-your-model-tell-negation/) — Yuwei Zhang, Siffi Singh, Sailik Sengupta, et al. · English - [CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering](https://md.research.elamur.ai/free/en/papers/wiratunga-2024-cbr-rag-case-based-reasoning/) — Nirmalie Wiratunga, Ramitha Abeyratne, Lasal Jayawardena, et al. · arXiv:2404.04302 - [Challenges to Evaluating the Generalization of Coreference Resolution Models: A Measurement Modeling Perspective](https://md.research.elamur.ai/free/en/papers/porada-2024-challenges-evaluating-generalization-coreference-resolution/) — Ian Porada, Alexandra Olteanu, Kaheer Suleman, et al. · English - [ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools](https://md.research.elamur.ai/free/en/papers/glm-2024-chatglm-family-large-language-models/) — Team GLM, Aohan Zeng, Bin Xu, et al. · arXiv:2406.12793 - [Code Llama: Open Foundation Models for Code](https://md.research.elamur.ai/free/en/papers/roziere-2024-code-llama-open-foundation-models/) — Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, et al. · arXiv:2308.12950 - [Code-Switching and Back-Transliteration Using a Bilingual Model](https://md.research.elamur.ai/free/en/papers/aclbulk-2024-mitelman-code-switching-back-transliteration-bilingual/) — Daniel Weisberg Mitelman, Nachum Dershowitz, Kfir Bar · Aramaic - [CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models](https://md.research.elamur.ai/free/en/papers/chen-2024-cofipara-coarse-fine-paradigm-multimodal/) — Zixin Chen, Hongzhan Lin, Ziyang Luo, et al. · Proceedings of the 62nd Annual Meeting of the… - [CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer](https://md.research.elamur.ai/free/en/papers/yang-2024-cogvideox-text-video-diffusion/) — Zhuoyi Yang, Jiayan Teng, Wendi Zheng, et al. · arXiv:2408.06072 - [COMICORDA: Dialogue Act Recognition in Comic Books](https://md.research.elamur.ai/free/en/papers/martinek-2024-comicorda-dialogue-act-recognition-comic/) — Jiri Martinek, Pavel Kral, Ladislav Lenc, et al. · English - [Common Ground Tracking in Multimodal Dialogue](https://md.research.elamur.ai/free/en/papers/khebour-2024-common-ground-tracking-multimodal-dialogue/) — Ibrahim Khalil Khebour, Kenneth Lai, Mariah Bradford, et al. · Proceedings of the 2024 Joint International… - [Computational Methods for the Analysis of Complementizer Variability in Language and Literature: The Case of Hebrew "she-" and "ki"](https://md.research.elamur.ai/free/en/papers/aclbulk-2024-shmidman-computational-methods-analysis-complementizer-variability/) — Avi Shmidman, Aynat Rubinstein · Ancient Hebrew - [Computational Morphology and Lexicography Modeling of Modern Standard Arabic Nominals](https://md.research.elamur.ai/free/en/papers/aclbulk-2024-khairallah-computational-morphology-lexicography-modeling-modern/) — Christian Khairallah, Reham Marzouk, Salam Khalifa, et al. · Semitic languages - [Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing Japanese Language Capabilities](https://md.research.elamur.ai/free/en/papers/fujii-2024-continual-pre-training-cross-lingual/) — Kazuki Fujii, Taishi Nakamura, Mengsay Loem, et al. · arXiv:2404.17790 - [Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation](https://md.research.elamur.ai/free/en/papers/xu-2024-contrastive-preference-optimization-pushing-boundaries/) — Haoran Xu, Amr Sharaf, Yunmo Chen, et al. · arXiv:2401.08417 - [Contribution of Linguistic Typology to Universal Dependency Parsing: An Empirical Investigation](https://md.research.elamur.ai/free/en/papers/basirat-2024-contribution-linguistic-typology-universal-dependency/) — Ali Basirat, Navid Baradaran Hemmati · Proceedings of the 2024 Conference on Empirical… - [Corrective Retrieval Augmented Generation](https://md.research.elamur.ai/free/en/papers/yan-2024-corrective-retrieval-augmented-generation/) — Shi-Qi Yan, Jia-Chen Gu, Yun Zhu, et al. · arXiv:2401.15884 - [Critical biblical studies via word frequency analysis: unveiling text authorship](https://md.research.elamur.ai/free/en/papers/hbo-2024-faigenbaum-golovin-critical-biblical-studies-word-frequency/) — Shira Faigenbaum-Golovin, Alon Kipnis, Axel Buhler, et al. · Ancient Hebrew - [CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution](https://md.research.elamur.ai/free/en/papers/gu-2024-cruxeval-benchmark-code-reasoning-understanding/) — Alex Gu, Baptiste Rozière, Hugh Leather, et al. · arXiv:2401.03065 - [CultureLLM: Incorporating Cultural Differences into Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-culturellm-incorporating-cultural-differences-large/) — Cheng Li, Mengzhou Chen, Jindong Wang, et al. · arXiv:2402.10946 - [Cutting Through the Noise: Boosting LLM Performance on Math Word Problems](https://md.research.elamur.ai/free/en/papers/anantheswaran-2024-cutting-through-noise-boosting-llm/) — Ujjwala Anantheswaran, Himanshu Gupta, Kevin Scaria, et al. · Mova's core list - [D-Nikud: Enhancing Hebrew Diacritization with LSTM and Pretrained Models](https://md.research.elamur.ai/free/en/papers/hbo-2024-rosenthal-d-nikud-enhancing-hebrew-diacritization/) — Adi Rosenthal, Nadav Shaked · Ancient Hebrew - [DataComp-LM: In search of the next generation of training sets for language models](https://md.research.elamur.ai/free/en/papers/li-2024-datacomp-lm-search-next-generation/) — Jeffrey Li, Alex Fang, Georgios Smyrnis, et al. · arXiv:2406.11794 - [Dating ancient manuscripts using radiocarbon and AI-based writing style analysis](https://md.research.elamur.ai/free/en/papers/langstream-2024-popovic-dating-ancient-manuscripts-using-radiocarbon/) — Mladen Popovic, Maruf A. Dhali, Lambert Schomaker, et al. · Ancient Hebrew - [DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence](https://md.research.elamur.ai/free/en/papers/deepseek-2024-ai-deepseek-coder-v2-breaking-barrier/) — DeepSeek-AI, Qihao Zhu, Daya Guo, et al. · arXiv:2406.11931 - [DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search](https://md.research.elamur.ai/free/en/papers/xin-2024-deepseek-prover-v1-5-harnessing/) — Huajian Xin, Z. Z. 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