--- title: "Papers of 2024 — page 2" description: "Papers of 2024: 528 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/2/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/2024/page/2/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / 2024 # Papers of 2024 — page 2 528 papers · [all years](https://md.research.elamur.ai/free/en/papers/) [← prev](https://md.research.elamur.ai/free/en/papers/2024/) [1](https://md.research.elamur.ai/free/en/papers/2024/) **2** [3](https://md.research.elamur.ai/free/en/papers/2024/page/3/) … [6](https://md.research.elamur.ai/free/en/papers/2024/page/6/) [next →](https://md.research.elamur.ai/free/en/papers/2024/page/3/) - [CamelEval: Advancing Culturally Aligned Arabic Language Models and Benchmarks](https://md.research.elamur.ai/free/en/papers/qian-2024-cameleval-advancing-culturally-aligned-arabic/) — Zhaozhi Qian, Faroq Altam, Muhammad Alqurishi, et al. · arXiv:2409.12623 - [Can ChatGPT capture swearing nuances? Evidence from translating Arabic oaths](https://md.research.elamur.ai/free/en/papers/shormani-2024-chatgpt-capture-swearing-nuances-evidence/) — Mohammed Q. Shormani · arXiv:2412.02466 - [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 - [Capturing the full potential of Maltese language learning through ChatGPT](https://md.research.elamur.ai/free/en/papers/zammit-2024-capturing-full-potential-maltese-language/) — Jacqueline Żammit · Technology in Language Teaching & Learning 6 - [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 - [Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models](https://md.research.elamur.ai/free/en/papers/yu-2024-chain-note-enhancing-robustness-retrieval/) — Wenhao Yu, Hongming Zhang, Xiaoman Pan, et al. · Proceedings of the 2024 Conference on Empirical… - [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 - [Chameleon: Mixed-Modal Early-Fusion Foundation Models](https://md.research.elamur.ai/free/en/papers/team-2024-chameleon-mixed-modal-early-fusion/) — Chameleon Team · arXiv:2405.09818 - [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 - [Creating Arabic LLM Prompts at Scale](https://md.research.elamur.ai/free/en/papers/el-2024-sheikh-creating-arabic-llm-prompts-scale/) — Abdelrahman El-Sheikh, Ahmed Elmogtaba, Kareem Darwish, et al. · arXiv:2408.05882 - [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 - [CUFE at StanceEval2024: Arabic Stance Detection with Fine-Tuned Llama-3 Model](https://md.research.elamur.ai/free/en/papers/ibrahim-2024-cufe-stanceeval2024-arabic-stance-detection/) — Michael Ibrahim · Proceedings of the Second Arabic Natural… - [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 - [Cyber Risks of Machine Translation Critical Errors : Arabic Mental Health Tweets as a Case Study](https://md.research.elamur.ai/free/en/papers/saadany-2024-cyber-risks-machine-translation-critical/) — Hadeel Saadany, Ashraf Tantawy, Constantin Orasan · arXiv:2405.11668 - [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 - [DarijaBanking: A New Resource for Overcoming Language Barriers in Banking Intent Detection for Moroccan Arabic Speakers](https://md.research.elamur.ai/free/en/papers/skiredj-2024-darijabanking-new-resource-overcoming-language/) — Abderrahman Skiredj, Ferdaous Azhari, Ismail Berrada, et al. · arXiv:2405.16482 - [Data Engineering for Scaling Language Models to 128K Context](https://md.research.elamur.ai/free/en/papers/fu-2024-data-engineering-scaling-language-models/) — Yao Fu, Rameswar Panda, Xinyao Niu, et al. · arXiv:2402.10171 - [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 - [Deep Learning Based Amharic Chatbot for FAQs in Universities](https://md.research.elamur.ai/free/en/papers/hailu-2024-deep-learning-based-amharic-chatbot/) — Goitom Ybrah Hailu, Hadush Hailu, Shishay Welay · arXiv:2402.01720 · Machine Learning (cs.LG)… - [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. Ren, Junxiao Song, et al. · arXiv:2408.08152 - [DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data](https://md.research.elamur.ai/free/en/papers/xin-2024-deepseek-prover-advancing-theorem-proving/) — Huajian Xin, Daya Guo, Zhihong Shao, et al. · arXiv:2405.14333 - [DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding](https://md.research.elamur.ai/free/en/papers/wu-2024-deepseek-vl2-mixture-experts/) — Zhiyu Wu, Xiaokang Chen, Zizheng Pan, et al. · arXiv:2412.10302 - [DeepSeek-VL: Towards Real-World Vision-Language Understanding](https://md.research.elamur.ai/free/en/papers/lu-2024-deepseek-vl-real-world/) — Haoyu Lu, Wen Liu, Bo Zhang, et al. · arXiv:2403.05525 - [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://md.research.elamur.ai/free/en/papers/shao-2024-deepseekmath-pushing-limits-mathematical-reasoning/) — Zhihong Shao, Peiyi Wang, Qihao Zhu, et al. · arXiv:2402.03300 - [Detecting Anti-Semitic Hate Speech using Transformer-based Large Language Models](https://md.research.elamur.ai/free/en/papers/liu-2024-detecting-anti-semitic-hate-speech/) — Dengyi Liu, Minghao Wang, Andrew G. Catlin · arXiv:2405.03794 - [Detecting Narrative Patterns in Biblical Hebrew and Greek](https://md.research.elamur.ai/free/en/papers/aclbulk-2024-mcgovern-detecting-narrative-patterns-biblical-hebrew/) — Hope McGovern, Hale Sirin, Tom Lippincott, et al. · Ancient Hebrew - [Developing a Pragmatic Benchmark for Assessing Korean Legal Language Understanding in Large Language Models](https://md.research.elamur.ai/free/en/papers/kim-2024-developing-pragmatic-benchmark-assessing-korean/) — Yeeun Kim, Youngrok Choi, Eunkyung Choi, et al. · Findings of the Association for Computational… - [Developing Arabic Grammar Materials Based on Contextual Learning at Islamic Boarding School in Indonesia](https://md.research.elamur.ai/free/en/papers/hamidah-2024-developing-arabic-grammar-materials-based/) — Hamidah Hamidah, Yulia Rahmah, Uswatun Hasanah, et al. · Al-Ta'rib 12 - [Development of Functional Arabic Grammar (Nahwu) Textbooks Based on Local Wisdom for Arabic Language Students](https://md.research.elamur.ai/free/en/papers/azizah-2024-development-functional-arabic-grammar-nahwu/) — Fina Nur Azizah, Afif Kholisun Nashoih · Arabiyatuna: Jurnal Bahasa Arab 8 - [Diachronic Analysis of Multi-word Expression Functional Categories in Scientific English](https://md.research.elamur.ai/free/en/papers/alves-2024-diachronic-analysis-multi-word-expression/) — Diego Alves, Stefania Degaetano-Ortlieb, Elena Schmidt, et al. · Proceedings of the Joint Workshop on Multiword… - [Dialogue Discourse Parsing as Generation: A Sequence-to-Sequence LLM-based Approach](https://md.research.elamur.ai/free/en/papers/li-2024-dialogue-discourse-parsing-as-generation/) — Chuyuan Li, Yuwei Yin, Giuseppe Carenini · Proceedings of the 25th Annual Meeting of the… - [Discourse Relation Prediction and Discourse Parsing in Dialogues with Minimal Supervision](https://md.research.elamur.ai/free/en/papers/li-2024-discourse-relation-prediction-discourse-parsing/) — Chuyuan Li, Chloé Braud, Maxime Amblard, et al. · Proceedings of the 5th Workshop on… - [Discursive Socratic Questioning: Evaluating the Faithfulness of Language Models' Understanding of Discourse Relations](https://md.research.elamur.ai/free/en/papers/miao-2024-discursive-socratic-questioning-evaluating-faithfulness/) — Yisong Miao, Hongfu Liu, Wenqiang Lei, et al. · Proceedings of the 62nd Annual Meeting of the… - [DistiLLM: Towards Streamlined Distillation for Large Language Models](https://md.research.elamur.ai/free/en/papers/ko-2024-distillm-towards-streamlined-distillation-large/) — Jongwoo Ko, Sungnyun Kim, Tianyi Chen, et al. · arXiv:2402.03898 - [Do Llamas Work in English? On the Latent Language of Multilingual Transformers](https://md.research.elamur.ai/free/en/papers/wendler-2024-do-llamas-work-english-latent/) — Chris Wendler, Veniamin Veselovsky, Giovanni Monea, et al. · Proceedings of the 62nd Annual Meeting of the… - [Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs](https://md.research.elamur.ai/free/en/papers/chen-2024-think-that-much-2-3/) — Xingyu Chen, Jiahao Xu, Tian Liang, et al. · arXiv:2412.21187 - [Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better](https://md.research.elamur.ai/free/en/papers/liu-2024-does-detectgpt-fully-utilize-perturbation/) — Shengchao Liu, Xiaoming Liu, Yichen Wang, et al. · Proceedings of the 62nd Annual Meeting of the… - [Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding](https://md.research.elamur.ai/free/en/papers/zhang-2024-draft-verify-lossless-large-language/) — Jun Zhang, Jue Wang, Huan Li, et al. · Proceedings of the 62nd Annual Meeting of the… - [Dreaming Out Loud: A Self-Synthesis Approach For Training Vision-Language Models With Developmentally Plausible Data](https://md.research.elamur.ai/free/en/papers/alkhamissi-2024-dreaming-out-loud-self-synthesis/) — Badr AlKhamissi, Yingtian Tang, Abdülkadir Gökce, et al. · The 2nd BabyLM Challenge at the 28th Conference… - [DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads](https://md.research.elamur.ai/free/en/papers/xiao-2024-duoattention-efficient-long-context-llm/) — Guangxuan Xiao, Jiaming Tang, Jingwei Zuo, et al. · arXiv:2410.10819 - [dzStance at StanceEval2024: Arabic Stance Detection based on Sentence Transformers](https://md.research.elamur.ai/free/en/papers/lichouri-2024-dzstance-stanceeval2024-arabic-stance-detection/) — Mohamed Lichouri, Khaled Lounnas, Ouaras Rafik, et al. · Proceedings of the Second Arabic Natural… - [EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees](https://md.research.elamur.ai/free/en/papers/li-2024-eagle-2-faster-inference-language/) — Yuhui Li, Fangyun Wei, Chao Zhang, et al. · Proceedings of the 2024 Conference on Empirical… - [EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty](https://md.research.elamur.ai/free/en/papers/li-2024-eagle-speculative-sampling-requires-rethinking/) — Yuhui Li, Fangyun Wei, Chao Zhang, et al. · arXiv:2401.15077 - [EDDA: An Encoder-Decoder Data Augmentation Framework for Zero-Shot Stance Detection](https://md.research.elamur.ai/free/en/papers/ding-2024-edda-encoder-decoder-data-augmentation/) — Daijun Ding, Li Dong, Zhichao Huang, et al. · Proceedings of the 2024 Joint International… - [Effects of term weighting approach with and without stop words removing on Arabic text classification](https://md.research.elamur.ai/free/en/papers/alhenawi-2024-effects-term-weighting-approach-stop/) — Esra'a Alhenawi, Ruba Abu Khurma, Pedro A. Castillo, et al. · arXiv:2402.14867 - [EgyBERT: A Large Language Model Pretrained on Egyptian Dialect Corpora](https://md.research.elamur.ai/free/en/papers/qarah-2024-egybert-large-language-model-pretrained/) — Faisal Qarah · arXiv:2408.03524 - [Embible: Reconstruction of Ancient Hebrew and Aramaic Texts Using Transformers](https://md.research.elamur.ai/free/en/papers/aclbulk-2024-fono-embible-reconstruction-ancient-hebrew-aramaic/) — Niv Fono, Harel Moshayof, Eldar Karol, et al. · Ancient Hebrew - [Enhancing Medical Support in the Arabic Language Through Personalized ChatGPT Assistance](https://md.research.elamur.ai/free/en/papers/issa-2024-enhancing-medical-support-arabic-language/) — Mohamed Issa, Ahmed Abdelwahed · arXiv:2403.15501 - [Enhancing Semantic Similarity Understanding in Arabic NLP with Nested Embedding Learning](https://md.research.elamur.ai/free/en/papers/nacar-2024-enhancing-semantic-similarity-understanding-arabic/) — Omer Nacar, Anis Koubaa · arXiv:2407.21139 - [Enhancing TTS Stability in Hebrew using Discrete Semantic Units](https://md.research.elamur.ai/free/en/papers/langstream-2024-zeldes-enhancing-tts-stability-hebrew-using/) — Ella Zeldes, Or Tal, Yossi Adi · Modern Hebrew - [Ensemble of pre-trained language models and data augmentation for hate speech detection from Arabic tweets](https://md.research.elamur.ai/free/en/papers/daouadi-2024-ensemble-pre-trained-language-models/) — Kheir Eddine Daouadi, Yaakoub Boualleg, Kheir Eddine Haouaouchi · arXiv:2407.02448 - [Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models](https://md.research.elamur.ai/free/en/papers/lu-2024-error-analysis-prompting-enables-human/) — Qingyu Lu, Baopu Qiu, Liang Ding, et al. · Findings of the Association for Computational… - [Error Span Annotation: A Balanced Approach for Human Evaluation of Machine Translation](https://md.research.elamur.ai/free/en/papers/kocmi-2024-error-span-annotation-balanced-approach/) — Tom Kocmi, Vilém Zouhar, Eleftherios Avramidis, et al. · Proceedings of the Ninth Conference on Machine… - [Estimating the Level of Dialectness Predicts Interannotator Agreement in Multi-dialect Arabic Datasets](https://md.research.elamur.ai/free/en/papers/keleg-2024-estimating-level-dialectness-predicts-interannotator/) — Amr Keleg, Walid Magdy, Sharon Goldwater · arXiv:2405.11282 - [EtymoLink: A Structured English Etymology Dataset](https://md.research.elamur.ai/free/en/papers/lex-2024-gao-etymolink-english/) — Yuan Gao, Weiwei Sun · English - [EuroLLM: Multilingual Language Models for Europe](https://md.research.elamur.ai/free/en/papers/martins-2024-eurollm-multilingual-language-models-europe/) — Pedro Henrique Martins, Patrick Fernandes, Joao Alves, et al. · arXiv:2409.16235 - [Evaluating Large Language Models for Health-related Queries with Presuppositions](https://md.research.elamur.ai/free/en/papers/kaur-2024-evaluating-large-language-models-health/) — Navreet Kaur, Monojit Choudhury, Danish Pruthi · Findings of the Association for Computational… - [Evaluating large language models for the tasks of PoS tagging within the Universal Dependency framework](https://md.research.elamur.ai/free/en/papers/machado-2024-evaluating-large-language-models-tasks/) — Mateus Machado, Evandro Ruiz · Mova's core list - [Evaluating the Quality of a Corpus Annotation Scheme Using Pretrained Language Models](https://md.research.elamur.ai/free/en/papers/akkurt-2024-evaluating-quality-corpus-annotation-scheme/) — Furkan Akkurt, Onur Gungor, Büşra Marşan, et al. · Proceedings of the 2024 Joint International… - [Evaluation of Semantic Search and its Role in Retrieved-Augmented-Generation (RAG) for Arabic Language](https://md.research.elamur.ai/free/en/papers/mahboub-2024-evaluation-semantic-search-role-retrieved/) — Ali Mahboub, Muhy Eddin Za'ter, Bashar Al-Rfooh, et al. · arXiv:2403.18350 - [Executable Code Actions Elicit Better LLM Agents](https://md.research.elamur.ai/free/en/papers/wang-2024-executable-code-actions-elicit-better/) — Xingyao Wang, Yangyi Chen, Lifan Yuan, et al. · arXiv:2402.01030 - [Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling](https://md.research.elamur.ai/free/en/papers/chen-2024-expanding-performance-boundaries-open/) — Zhe Chen, Weiyun Wang, Yue Cao, et al. · arXiv:2412.05271 - [ExpertQA: Expert-Curated Questions and Attributed Answers](https://md.research.elamur.ai/free/en/papers/malaviya-2024-expertqa-expert-curated-questions-attributed/) — Chaitanya Malaviya, Subin Lee, Sihao Chen, et al. · Proceedings of the 2024 Conference of the North… - [Exploring Human-Like Translation Strategy with Large Language Models](https://md.research.elamur.ai/free/en/papers/he-2024-exploring-human-like-translation-strategy/) — Zhiwei He, Tian Liang, Wenxiang Jiao, et al. · Transactions of the Association for… - [Exploring Retrieval Augmented Generation in Arabic](https://md.research.elamur.ai/free/en/papers/el-2024-beltagy-exploring-retrieval-augmented-generation-arabic/) — Samhaa R. El-Beltagy, Mohamed A. Abdallah · arXiv:2408.07425 - [Exploring Soft-Label Training for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/costa-2024-exploring-soft-label-training-implicit/) — Nelson Filipe Costa, Leila Kosseim · Proceedings of the 5th Workshop on… - [Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations](https://md.research.elamur.ai/free/en/papers/chan-2024-exploring-potential-chatgpt-sentence-level/) — Chunkit Chan, Cheng Jiayang, Weiqi Wang, et al. · Findings of the Association for Computational… - [Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language Models](https://md.research.elamur.ai/free/en/papers/langstream-2024-alrefaie-exploring-tokenization-strategies-vocabulary-sizes/) — Mohamed Taher Alrefaie, Nour Eldin Morsy, Nada Samir · Semitic languages - [Eyes Wide Shut? 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