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Resources & Methods

16,196 papers (36 classified directly here)

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Papers (including subtopics)

AutoRef: Generating Refinements of Reviews Given Guidelines ACL 2024 AutoScraper: A Progressive Understanding Web Agent for Web Scraper Generation EMNLP 2024 A Web Portal about the State of the Art of NLP Tasks in Spanish COLING 2024 AXCEL: Automated eXplainable Consistency Evaluation using LLMs EMNLP 2024 Axis Tour: Word Tour Determines the Order of Axes in ICA-transformed Embeddings 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 BadEdit: Backdooring Large Language Models by Model Editing ICLR 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 BatchPrompt: Accomplish more with less ICLR 2024 Bayesian Calibration of Win Rate Estimation with LLM Evaluators EMNLP 2024 BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction ICLR 2024 BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models ICML 2024 BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering ACL 2024