https://github.com/ruikangliu/IntactKV
공식 코드IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact
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IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact
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LLM-QFL: Distilling Large Language Model for Quantum Federated Learning
Knowledge Graph Completion using Structural and Textual Embeddings
Utilizing Background Knowledge for Robust Reasoning over Traffic Situations
SituationalLLM: Proactive language models with scene awareness for dynamic, contextual task guidance
Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast
RegMix: Data Mixture as Regression for Language Model Pre-training
Type Information-Assisted Self-Supervised Knowledge Graph Denoising
EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements
EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements
Consistency-aware Fake Videos Detection on Short Video Platforms
Image Captioning for Effective Use of Language Models in Knowledge-Based Visual Question Answering
Integrating LLMs and Decision Transformers for Language Grounded Generative Quality-Diversity
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.