Large Language Models

Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting NeurIPS 2024 KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases EMNLP 2024 KC-GenRe: A Knowledge-constrained Generative Re-ranking Method Based on Large Language Models for Knowledge Graph Completion COLING 2024 Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities NeurIPS 2024 Key-Element-Informed sLLM Tuning for Document Summarization Interspeech 2024 Keyword-based Annotation of Visually-Rich Document Content for Trend and Risk Analysis Using Large Language Models COLING 2024 KG-Adapter: Enabling Knowledge Graph Integration in Large Language Models through Parameter-Efficient Fine-Tuning ACL 2024 KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge NeurIPS 2024 kGym: A Platform and Dataset to Benchmark Large Language Models on Linux Kernel Crash Resolution NeurIPS 2024 KidLM: Advancing Language Models for Children – Early Insights and Future Directions EMNLP 2024 KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models ACL 2024 KIT-19: A Comprehensive Korean Instruction Toolkit on 19 Tasks for Fine-Tuning Korean Large Language Models COLING 2024 KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval ICLR 2024 KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions ACL 2024 KMatrix: A Flexible Heterogeneous Knowledge Enhancement Toolkit for Large Language Model EMNLP 2024 kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning NAACL 2024 KNN-Instruct: Automatic Instruction Construction with K Nearest Neighbor Deduction EMNLP 2024 KnowComp at SemEval-2024 Task 9: Conceptualization-Augmented Prompting with Large Language Models for Lateral Reasoning SemEval 2024 KnowGPT: Knowledge Graph based Prompting for Large Language Models NeurIPS 2024 Knowlab’s Submission to L+M Shared Task: All you need is continued pretraining of chemistry texts even for molecule captioning ACL 2024 KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation NAACL 2024 Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning NAACL 2024 Knowledge Acquisition through Continued Pretraining is Difficult: A Case Study on r/AskHistorians ACL 2024 Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models ICLR 2024 Knowledge-Centric Hallucination Detection EMNLP 2024