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Large Language Models

9,341 papers

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Papers

Automatic Engineering of Long Prompts ACL 2024 Automatic Generation and Evaluation of Reading Comprehension Test Items with Large Language Models COLING 2024 Automatic Instruction Evolving for Large Language Models EMNLP 2024 Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models NeurIPS 2024 Automating Easy Read Text Segmentation EMNLP 2024 Automating Qualitative Data Analysis with Large Language Models ACL 2024 AutoPSV: Automated Process-Supervised Verifier NeurIPS 2024 AutoRE: Document-Level Relation Extraction with Large Language Models ACL 2024 AutoRef: Generating Refinements of Reviews Given Guidelines ACL 2024 AutoScraper: A Progressive Understanding Web Agent for Web Scraper Generation EMNLP 2024 AXCEL: Automated eXplainable Consistency Evaluation using LLMs EMNLP 2024 Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning ACL 2024 Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model ACL 2024 A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks COLING 2024 BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack NeurIPS 2024 Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection NAACL 2024 Back to School: Translation Using Grammar Books EMNLP 2024 BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models NeurIPS 2024 Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs NeurIPS 2024 Balancing Speciality and Versatility: a Coarse to Fine Framework for Supervised Fine-tuning Large Language Model ACL 2024 BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models COLING 2024 BAMO at SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common Sense SemEval 2024 BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filtering COLING 2024 Base of RoPE Bounds Context Length NeurIPS 2024 Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering ICLR 2024