--- title: "Natural language processing — papers, page 13" description: "Natural language processing: 2421 papers of the Elamur Research library · page 13 of 97 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/nlp/page/13/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/nlp/page/13/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Natural language processing](https://md.research.elamur.ai/free/en/shelves/nlp/) / page 13 # 💬 Natural language processing 2421 papers · page 13 of 97 · newest first · [all shelves](https://md.research.elamur.ai/free/en/shelves/) Computational linguistics from the ACL Anthology and arXiv: language models, information extraction, dialogue, evaluation. [← prev](https://md.research.elamur.ai/free/en/shelves/nlp/page/12/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [12](https://md.research.elamur.ai/free/en/shelves/nlp/page/12/) **13** [14](https://md.research.elamur.ai/free/en/shelves/nlp/page/14/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/14/) - [MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning](https://md.research.elamur.ai/free/en/papers/tang-2024-medagents-large-language-models-as/) — Xiangru Tang, Anni Zou, Zhuosheng Zhang, et al. · 2024 - [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. · 2024 - [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 · 2024 - [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. · 2024 - [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 · 2024 - [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 · 2024 - [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. · 2024 - [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. · 2024 - [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. · 2024 - [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. · 2024 - [MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries](https://md.research.elamur.ai/free/en/papers/tang-2024-multihop-rag-benchmarking-retrieval-augmented/) — Yixuan Tang, Yi Yang · 2024 - [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. · 2024 - [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. · 2024 - [Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-multimodal-arxiv-dataset-improving-scientific/) — Lei Li, Yuqi Wang, Runxin Xu, et al. · 2024 - [Nemotron-4 340B Technical Report](https://md.research.elamur.ai/free/en/papers/adler-2024-nemotron-4-340b-technical-report/) — Nvidia: Bo Adler, Niket Agarwal, Ashwath Aithal, et al. · 2024 - [Nomic Embed: Training a Reproducible Long Context Text Embedder](https://md.research.elamur.ai/free/en/papers/nussbaum-2024-nomic-embed-training-reproducible-long/) — Zach Nussbaum, John X. Morris, Brandon Duderstadt, et al. · 2024 - [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. · 2024 - [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. · 2024 - [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. · 2024 - [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 · 2024 - [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. · 2024 - [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 · 2024 - [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 · 2024 - [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. · 2024 - [Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models](https://md.research.elamur.ai/free/en/papers/rottger-2024-political-compass-or-spinning-arrow/) — Paul Röttger, Valentin Hofmann, Valentina Pyatkin, et al. · 2024 [← prev](https://md.research.elamur.ai/free/en/shelves/nlp/page/12/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [12](https://md.research.elamur.ai/free/en/shelves/nlp/page/12/) **13** [14](https://md.research.elamur.ai/free/en/shelves/nlp/page/14/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/14/)