--- title: "Papers of 2024 — page 3" 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/page/3/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/2024/page/3/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / 2024 # Papers of 2024 — page 3 383 papers · [all years](https://md.research.elamur.ai/free/en/papers/) [1](https://md.research.elamur.ai/free/en/papers/2024/) [2](https://md.research.elamur.ai/free/en/papers/2024/page/2/) **3** [4](https://md.research.elamur.ai/free/en/papers/2024/page/4/) - [LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression](https://md.research.elamur.ai/free/en/papers/pan-2024-llmlingua-2-data-distillation-efficient/) — Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, et al. · Findings of the Association for Computational… - [LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks](https://md.research.elamur.ai/free/en/papers/bavaresco-2024-llms-instead-human-judges-large/) — Anna Bavaresco, Raffaella Bernardi, Leonardo Bertolazzi, et al. · arXiv:2406.18403 - [LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods](https://md.research.elamur.ai/free/en/papers/li-2024-llms-judges-comprehensive-survey-llm/) — Haitao Li, Qian Dong, Junjie Chen, et al. · arXiv:2412.05579 - [Long-context LLMs Struggle with Long In-context Learning](https://md.research.elamur.ai/free/en/papers/li-2024-long-context-llms-struggle-long/) — Tianle Li, Ge Zhang, Quy Duc Do, et al. · arXiv:2404.02060 - [Long-form factuality in large language models](https://md.research.elamur.ai/free/en/papers/wei-2024-long-form-factuality-large-language/) — Jerry Wei, Chengrun Yang, Xinying Song, et al. · arXiv:2403.18802 - [LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks](https://md.research.elamur.ai/free/en/papers/bai-2024-longbench-v2-deeper-understanding/) — Yushi Bai, Shangqing Tu, Jiajie Zhang, et al. · arXiv:2412.15204 - [LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens](https://md.research.elamur.ai/free/en/papers/ding-2024-longrope-extending-llm-context/) — Yiran Ding, Li Lyna Zhang, Chengruidong Zhang, et al. · arXiv:2402.13753 - [Lost in Translationese? Reducing Translation Effect Using Abstract Meaning Representation](https://md.research.elamur.ai/free/en/papers/wein-2024-lost-translationese-reducing-translation-effect/) — Shira Wein, Nathan Schneider · Machine translation - [M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation](https://md.research.elamur.ai/free/en/papers/chen-2024-m3-embedding-multi-linguality/) — Jianlv Chen, Shitao Xiao, Peitian Zhang, et al. · arXiv:2402.03216 - [Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing](https://md.research.elamur.ai/free/en/papers/xu-2024-magpie-alignment-data-synthesis-scratch/) — Zhangchen Xu, Fengqing Jiang, Luyao Niu, et al. · arXiv:2406.08464 - [Major Entity Identification: A Generalizable Alternative to Coreference Resolution](https://md.research.elamur.ai/free/en/papers/manikantan-2024-major-entity-identification-generalizable-alternative/) — Kawshik Manikantan, Shubham Toshniwal, Makarand Tapaswi, et al. · Proceedings of the 2024 Conference on Empirical… - [MAmmoTH2: Scaling Instructions from the Web](https://md.research.elamur.ai/free/en/papers/yue-2024-mammoth2-scaling-instructions-web/) — Xiang Yue, Tuney Zheng, Ge Zhang, et al. · arXiv:2405.03548 - [Many-Shot In-Context Learning](https://md.research.elamur.ai/free/en/papers/agarwal-2024-many-shot-context-learning/) — Rishabh Agarwal, Avi Singh, Lei M. Zhang, et al. · arXiv:2404.11018 - [Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations](https://md.research.elamur.ai/free/en/papers/wang-2024-math-shepherd-verify-reinforce-llms/) — Peiyi Wang, Lei Li, Zhihong Shao, et al. · Proceedings of the 62nd Annual Meeting of the… - [MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?](https://md.research.elamur.ai/free/en/papers/zhang-2024-mathverse-multi-modal-llm-truly/) — Renrui Zhang, Dongzhi Jiang, Yichi Zhang, et al. · arXiv:2403.14624 - [Maverick: Efficient and Accurate Coreference Resolution Defying Recent Trends](https://md.research.elamur.ai/free/en/papers/martinelli-2024-maverick-efficient-accurate-coreference-resolution/) — Giuliano Martinelli, Edoardo Barba, Roberto Navigli · Proceedings of the 62nd Annual Meeting of the… - [Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset](https://md.research.elamur.ai/free/en/papers/wang-2024-measuring-multimodal-mathematical-reasoning-math/) — Ke Wang, Junting Pan, Weikang Shi, et al. · arXiv:2402.14804 - [Measuring short-form factuality in large language models](https://md.research.elamur.ai/free/en/papers/wei-2024-measuring-short-form-factuality-large/) — Jason Wei, Nguyen Karina, Hyung Won Chung, et al. · arXiv:2411.04368 - [Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads](https://md.research.elamur.ai/free/en/papers/cai-2024-medusa-simple-llm-inference-acceleration/) — Tianle Cai, Yuhong Li, Zhengyang Geng, et al. · arXiv:2401.10774 - [MenakBERT — Hebrew Diacriticizer](https://md.research.elamur.ai/free/en/papers/hbo-2024-cohen-menakbert-hebrew-diacriticizer/) — Ido Cohen, Jacob Gidron, Idan Pinto · Ancient Hebrew - [MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task](https://md.research.elamur.ai/free/en/papers/juraska-2024-metricx-24-google-submission-wmt/) — Juraj Juraska, Daniel Deutsch, Mara Finkelstein, et al. · Proceedings of the Ninth Conference on Machine… - [Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew Language](https://md.research.elamur.ai/free/en/papers/langstream-2024-shalumov-mevaker-conclusion-extraction-allocation-resources/) — Vitaly Shalumov, Harel Haskey, Yuval Solaz · Modern Hebrew - [MGKM at StanceEval2024 Fine-Tuning Large Language Models for Arabic Stance Detection](https://md.research.elamur.ai/free/en/papers/alghaslan-2024-mgkm-stanceeval2024-fine-tuning-large/) — Mamoun Alghaslan, Khaled Almutairy · Proceedings of the Second Arabic Natural… - [mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval](https://md.research.elamur.ai/free/en/papers/zhang-2024-mgte-generalized-long-context-text/) — Xin Zhang, Yanzhao Zhang, Dingkun Long, et al. · Proceedings of the 2024 Conference on Empirical… - [MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention](https://md.research.elamur.ai/free/en/papers/jiang-2024-minference-1-0-accelerating-pre/) — Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, et al. · arXiv:2407.02490 - [MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents](https://md.research.elamur.ai/free/en/papers/tang-2024-minicheck-efficient-fact-checking-llms/) — Liyan Tang, Philippe Laban, Greg Durrett · Proceedings of the 2024 Conference on Empirical… - [MiniCPM-V: A GPT-4V Level MLLM on Your Phone](https://md.research.elamur.ai/free/en/papers/yao-2024-minicpm-v-gpt-4v/) — Yuan Yao, Tianyu Yu, Ao Zhang, et al. · arXiv:2408.01800 - [MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies](https://md.research.elamur.ai/free/en/papers/hu-2024-minicpm-unveiling-potential-small-language/) — Shengding Hu, Yuge Tu, Xu Han, et al. · arXiv:2404.06395 - [MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering](https://md.research.elamur.ai/free/en/papers/chan-2024-mle-bench-evaluating-machine/) — Jun Shern Chan, Neil Chowdhury, Oliver Jaffe, et al. · arXiv:2410.07095 - [MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark](https://md.research.elamur.ai/free/en/papers/wang-2024-mmlu-pro-more-robust-challenging/) — Yubo Wang, Xueguang Ma, Ge Zhang, et al. · arXiv:2406.01574 - [Modeling linking between text and lexicon with OntoLex-Lemon: a case study of computational terminology for the Babylonian Talmud](https://md.research.elamur.ai/free/en/papers/aclbulk-2024-sciolette-modeling-linking-between-text-lexicon/) — Flavia Sciolette · Aramaic - [Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models](https://md.research.elamur.ai/free/en/papers/deitke-2024-molmo-pixmo-open-weights-open/) — Matt Deitke, Christopher Clark, Sangho Lee, et al. · arXiv:2409.17146 - [Morphological and Syntactic Characteristics of Adjectives in Philippine English: A Corpus-Based Description](https://md.research.elamur.ai/free/en/papers/aquino-2024-morphological-syntactic-characteristics-adjectives-philippine/) — Luvee Hazel Aquino, Christine Jane Aquino · English - [Morphological Synthesizer for Ge'ez Language: Addressing Morphological Complexity and Resource Limitations](https://md.research.elamur.ai/free/en/papers/aclbulk-2024-gidey-morphological-synthesizer-ge-ez-language/) — Gebrearegawi Gebremariam Gidey, Hailay Kidu Teklehaymanot, Gebregewergs Mezgebe Atsbha · Semitic languages - [Moshi: a speech-text foundation model for real-time dialogue](https://md.research.elamur.ai/free/en/papers/defossez-2024-moshi-speech-text-foundation-model/) — Alexandre Defossez, Laurent Mazare, Manu Orsini, et al. · arXiv:2410.00037 - [MRL Parsing Without Tears: The Case of Hebrew](https://md.research.elamur.ai/free/en/papers/findings-2024-shmidman-mrl-parsing-without-tears-case/) — Shaltiel Shmidman, Avi Shmidman, Moshe Koppel, et al. · Ancient Hebrew - [MsBERT: A New Model for the Reconstruction of Lacunae in Hebrew Manuscripts](https://md.research.elamur.ai/free/en/papers/aclbulk-2024-shmidman-msbert-new-model-reconstruction-lacunae/) — Avi Shmidman, Ometz Shmidman, Hillel Gershuni, et al. · Ancient Hebrew - [MSCAW-coref: Multilingual, Singleton and Conjunction-Aware Word-Level Coreference Resolution](https://md.research.elamur.ai/free/en/papers/liu-2024-mscaw-coref-multilingual-singleton-conjunction/) — Houjun Liu, John Bauer, Karel D'Oosterlinck, et al. · Proceedings of the Seventh Workshop on… - [MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues](https://md.research.elamur.ai/free/en/papers/bai-2024-mt-bench-101-fine-grained/) — Ge Bai, Jie Liu, Xingyuan Bu, et al. · Proceedings of the 62nd Annual Meeting of the… - [MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models](https://md.research.elamur.ai/free/en/papers/kwan-2024-mt-eval-multi-turn-capabilities/) — Wai-Chung Kwan, Xingshan Zeng, Yuxin Jiang, et al. · Proceedings of the 2024 Conference on Empirical… - [Multi-Label Classification for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/long-2024-multi-label-classification-implicit-discourse/) — Wanqiu Long, N. Siddharth, Bonnie Webber · Findings of the Association for Computational… - [Multi-modal Stance Detection: New Datasets and Model](https://md.research.elamur.ai/free/en/papers/liang-2024-multi-modal-stance-detection-new/) — Bin Liang, Ang Li, Jingqian Zhao, et al. · Findings of the Association for Computational… - [Multilingual coreference resolution as text generation](https://md.research.elamur.ai/free/en/papers/skachkova-2024-multilingual-coreference-resolution-as-text/) — Natalia Skachkova · Proceedings of the Seventh Workshop on… - [Multilingual Coreference Resolution in Low-resource South Asian Languages](https://md.research.elamur.ai/free/en/papers/mishra-2024-multilingual-coreference-resolution-low-resource/) — Ritwik Mishra, Pooja Desur, Rajiv Ratn Shah, et al. · Proceedings of the 2024 Joint International… - [Multilingual E5 Text Embeddings: A Technical Report](https://md.research.elamur.ai/free/en/papers/wang-2024-multilingual-e5-text-embeddings-technical/) — Liang Wang, Nan Yang, Xiaolong Huang, et al. · arXiv:2402.05672 - [Multilingual Gradient Word-Order Typology from Universal Dependencies](https://md.research.elamur.ai/free/en/papers/baylor-2024-multilingual-gradient-word-order-typology/) — Emi Baylor, Esther Ploeger, Johannes Bjerva · Proceedings of the 18th Conference of the… - [Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis](https://md.research.elamur.ai/free/en/papers/zhu-2024-multilingual-machine-translation-large-language/) — Wenhao Zhu, Hongyi Liu, Qingxiu Dong, et al. · Findings of the Association for Computational… - [Multilingual Nonce Dependency Treebanks: Understanding how Language Models Represent and Process Syntactic Structure](https://md.research.elamur.ai/free/en/papers/arps-2024-multilingual-nonce-dependency-treebanks-understanding/) — David Arps, Laura Kallmeyer, Younes Samih, et al. · Proceedings of the 2024 Conference of the North… - [Multimodal Cross-Document Event Coreference Resolution Using Linear Semantic Transfer and Mixed-Modality Ensembles](https://md.research.elamur.ai/free/en/papers/nath-2024-multimodal-cross-document-event-coreference/) — Abhijnan Nath, Huma Jamil, Shafiuddin Rehan Ahmed, et al. · Proceedings of the 2024 Joint International… - [MultiPICo: Multilingual Perspectivist Irony Corpus](https://md.research.elamur.ai/free/en/papers/casola-2024-multipico-multilingual-perspectivist-irony-corpus/) — Silvia Casola, Simona Frenda, Soda Marem Lo, et al. · Proceedings of the 62nd Annual Meeting of the… - [MultiPragEval: Multilingual Pragmatic Evaluation of Large Language Models](https://md.research.elamur.ai/free/en/papers/park-2024-multiprageval-multilingual-pragmatic-evaluation-large/) — Dojun Park, Jiwoo Lee, Seohyun Park, et al. · Proceedings of the 2nd GenBench Workshop on… - [MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response](https://md.research.elamur.ai/free/en/papers/deng-2024-musilingo-bridging-music-text-pre/) — Zihao Deng, Yinghao Ma, Yudong Liu, et al. · Findings of the Association for Computational… - [Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning](https://md.research.elamur.ai/free/en/papers/zhang-2024-negative-preference-optimization-catastrophic-collapse/) — Ruiqi Zhang, Licong Lin, Yu Bai, et al. · arXiv:2404.05868 - [No Context Needed: Contextual Quandary In Idiomatic Reasoning With Pre-Trained Language Models](https://md.research.elamur.ai/free/en/papers/cheng-2024-no-context-needed-contextual-quandary/) — Kellen Tan Cheng, Suma Bhat · Proceedings of the 2024 Conference of the North… - [NoLoR: An ASR-Based Framework for Expedited Endangered Language Documentation with Neo-Aramaic as a Case Study](https://md.research.elamur.ai/free/en/papers/langstream-2024-nazari-nolor-asr-based-framework-expedited/) — Matthew Nazari · Aramaic - [Normalizing without Modernizing: Keeping Historical Wordforms of Middle French while Reducing Spelling Variants](https://md.research.elamur.ai/free/en/papers/rubino-2024-normalizing-without-modernizing-keeping-historical/) — Raphael Rubino, Johanna Gerlach, Jonathan Mutal, et al. · Machine translation - [Noun phrases in early Germanic languages](https://md.research.elamur.ai/free/en/papers/bech-2024-noun-phrases-early-germanic/) — Kristin Bech, Pfaff Alexander · English - [NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models](https://md.research.elamur.ai/free/en/papers/lee-2024-nv-embed-improved-techniques-training/) — Chankyu Lee, Rajarshi Roy, Mengyao Xu, et al. · arXiv:2405.17428 - [Okay, Let's Do This! Modeling Event Coreference with Generated Rationales and Knowledge Distillation](https://md.research.elamur.ai/free/en/papers/nath-2024-okay-let-s-do-this/) — Abhijnan Nath, Shadi Manafi Avari, Avyakta Chelle, et al. · Proceedings of the 2024 Conference of the North… - [OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems](https://md.research.elamur.ai/free/en/papers/he-2024-olympiadbench-challenging-benchmark-promoting-agi/) — Chaoqun He, Renjie Luo, Yuzhuo Bai, et al. · Proceedings of the 62nd Annual Meeting of the… - [Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models](https://md.research.elamur.ai/free/en/papers/gao-2024-omni-math-universal-olympiad-level/) — Bofei Gao, Feifan Song, Zhe Yang, et al. · arXiv:2410.07985 - [On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey](https://md.research.elamur.ai/free/en/papers/long-2024-llms-driven-synthetic-data-generation/) — Lin Long, Rui Wang, Ruixuan Xiao, et al. · Findings of the Association for Computational… - [On the Role of Morphological Information for Contextual Lemmatization](https://md.research.elamur.ai/free/en/papers/cl-2024-toporkov-role-morphological-information-contextual-lemmatization/) — Olia Toporkov, Rodrigo Agerri · English - [OpenAI o1 System Card](https://md.research.elamur.ai/free/en/papers/openai-2024-openai-o1-system-card/) — OpenAI, Aaron Jaech, Adam Kalai, et al. · arXiv:2412.16720 - [OpenHands: An Open Platform for AI Software Developers as Generalist Agents](https://md.research.elamur.ai/free/en/papers/wang-2024-openhands-open-platform-ai/) — Xingyao Wang, Boxuan Li, Yufan Song, et al. · arXiv:2407.16741 - [OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework](https://md.research.elamur.ai/free/en/papers/hu-2024-openrlhf-easy-use-scalable/) — Jian Hu, Xibin Wu, Wei Shen, et al. · arXiv:2405.11143 - [Orca-Math: Unlocking the potential of SLMs in Grade School Math](https://md.research.elamur.ai/free/en/papers/mitra-2024-orca-math-unlocking-potential-slms/) — Arindam Mitra, Hamed Khanpour, Corby Rosset, et al. · arXiv:2402.14830 - [OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments](https://md.research.elamur.ai/free/en/papers/xie-2024-osworld-benchmarking-multimodal-agents-open/) — Tianbao Xie, Danyang Zhang, Jixuan Chen, et al. · arXiv:2404.07972 - [OtoBERT: Identifying Suffixed Verbal Forms in Modern Hebrew Literature](https://md.research.elamur.ai/free/en/papers/aclbulk-2024-shmidman-otobert-identifying-suffixed-verbal-forms/) — Avi Shmidman, Shaltiel Shmidman · Modern Hebrew - [Out-of-Domain Dependency Parsing for Dialects of Arabic: A Case Study](https://md.research.elamur.ai/free/en/papers/aclbulk-2024-mokh-out-domain-dependency-parsing-dialects/) — Noor Abo Mokh, Daniel Dakota, Sandra Kübler · Semitic languages - [Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey](https://md.research.elamur.ai/free/en/papers/han-2024-parameter-efficient-fine-tuning-large/) — Zeyu Han, Chao Gao, Jinyang Liu, et al. · arXiv:2403.14608 - [Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone](https://md.research.elamur.ai/free/en/papers/abdin-2024-phi-3-technical-report-highly/) — Marah Abdin, Jyoti Aneja, Hany Awadalla, et al. · arXiv:2404.14219 - [Phi-4 Technical Report](https://md.research.elamur.ai/free/en/papers/abdin-2024-phi-4-technical-report/) — Marah Abdin, Jyoti Aneja, Harkirat Behl, et al. · arXiv:2412.08905 - [Picking Up Where the Linguist Left Off: Mapping Morphology to Phonology through Learning the Residuals](https://md.research.elamur.ai/free/en/papers/aclbulk-2024-khalifa-picking-up-where-linguist-left/) — Salam Khalifa, Abdelrahim Qaddoumi, Ellen Broselow, et al. · Semitic languages - [Potential of ASR for the study of L2 learner corpora](https://md.research.elamur.ai/free/en/papers/ayari-2024-potential-asr-study-l2-learner/) — Sarra El Ayari, Zhongjie Li · Proceedings of the 13th Workshop on Natural… - [Pragmatic Competence Evaluation of Large Language Models for the Korean Language](https://md.research.elamur.ai/free/en/papers/park-2024-pragmatic-competence-evaluation-large-language/) — Dojun Park, Jiwoo Lee, Hyeyun Jeong, et al. · Proceedings of the 38th Pacific Asia Conference… - [Pragmatic inference of scalar implicature by LLMs](https://md.research.elamur.ai/free/en/papers/cho-2024-pragmatic-inference-scalar-implicature-llms/) — Ye-eun Cho, Seong mook Kim · Proceedings of the 62nd Annual Meeting of the… - [Prayer and (Im)Politeness: Reading Psalm 7](https://md.research.elamur.ai/free/en/papers/hbo-2025-jones-prayer-im-politeness-reading-psalm/) — Ethan C. Jones · Ancient Hebrew - [Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question Answering](https://md.research.elamur.ai/free/en/papers/srikanth-2024-pregnant-questions-importance-pragmatic-awareness/) — Neha Srikanth, Rupak Sarkar, Heran Mane, et al. · Proceedings of the 2024 Conference of the North… - [Proceedings of the Joint Workshop on Multiword Expressions and Universal Dependencies (MWE-UD) @ LREC-COLING 2024](https://md.research.elamur.ai/free/en/papers/anon-2024-proceedings-joint-workshop-multiword-expressions/) — Research library - [Producing a Parallel Universal Dependencies Treebank of Ancient Hebrew and Ancient Greek via Cross-Lingual Projection](https://md.research.elamur.ai/free/en/papers/ud-2024-swanson-producing-parallel-universal-dependencies-treebank/) — Daniel G. Swanson, Bryce D. Bussert, Francis Tyers · Ancient Hebrew - [Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models](https://md.research.elamur.ai/free/en/papers/kim-2024-prometheus-2-open-source-language/) — Seungone Kim, Juyoung Suk, Shayne Longpre, et al. · arXiv:2405.01535 - [PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics Capabilities](https://md.research.elamur.ai/free/en/papers/sravanthi-2024-pub-pragmatics-understanding-benchmark-assessing/) — Settaluri Sravanthi, Meet Doshi, Pavan Tankala, et al. · English - [PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling](https://md.research.elamur.ai/free/en/papers/cai-2024-pyramidkv-dynamic-kv-cache-compression/) — Zefan Cai, Yichi Zhang, Bofei Gao, et al. · arXiv:2406.02069 - [pyrealb at the GEM'24 Data-to-text Task: Symbolic English Text Generation from RDF Triples](https://md.research.elamur.ai/free/en/papers/lapalme-2024-pyrealb-gem-24-data-text/) — Guy Lapalme · English - [QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs](https://md.research.elamur.ai/free/en/papers/ashkboos-2024-quarot-outlier-free-4-bit/) — Saleh Ashkboos, Amirkeivan Mohtashami, Maximilian L. 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