Skip to content
conftrace_

large language model

14,686 papers

LLM LLMS

Papers

Base of RoPE Bounds Context Length NeurIPS 2024 BASS: Batched Attention-optimized Speculative Sampling ACL 2024 Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering ICLR 2024 BatchEval: Towards Human-like Text Evaluation ACL 2024 Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learning ACL 2024 BAT: Learning to Reason about Spatial Sounds with Large Language Models ICML 2024 Bayesian Prompt Ensembles: Model Uncertainty Estimation for Black-Box Large Language Models ACL 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 BC-Prover: Backward Chaining Prover for Formal Theorem Proving EMNLP 2024 BD-NLP at SemEval-2024 Task 2: Investigating Generative and Discriminative Models for Clinical Inference with Knowledge Augmentation SemEval 2024 Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming EMNLP 2024 BeanCounter: A low-toxicity, large-scale, and open dataset of business-oriented text NeurIPS 2024 Before Generation, Align it! A Novel and Effective Strategy for Mitigating Hallucinations in Text-to-SQL Generation ACL 2024 Belief Revision: The Adaptability of Large Language Models Reasoning EMNLP 2024 Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs NeurIPS 2024 Benchmarking and Improving Long-Text Translation with Large Language Models ACL 2024 Benchmarking Automated Theorem Proving with Large Language Models EMNLP 2024 Benchmarking Chinese Commonsense Reasoning of LLMs: From Chinese-Specifics to Reasoning-Memorization Correlations ACL 2024 Benchmarking Cognitive Biases in Large Language Models as Evaluators ACL 2024 Benchmarking Complex Instruction-Following with Multiple Constraints Composition NeurIPS 2024 Benchmarking Data Science Agents ACL 2024 Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization NAACL 2024 Benchmarking GPT-4 on Algorithmic Problems: A Systematic Evaluation of Prompting Strategies COLING 2024 Benchmarking Hallucination in Large Language Models Based on Unanswerable Math Word Problem COLING 2024