Summary of Not All Heads Matter: a Head-level Kv Cache Compression Method with Integrated Retrieval and Reasoning, by Yu Fu et al.
Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and Reasoningby…
Summary of Designing Llm-agents with Personalities: a Psychometric Approach, by Muhua Huang et al.
Designing LLM-Agents with Personalities: A Psychometric Approachby Muhua Huang, Xijuan Zhang, Christopher Soto, James EvansFirst…
Summary of Autonomous Building Cyber-physical Systems Using Decentralized Autonomous Organizations, Digital Twins, and Large Language Model, by Reachsak Ly et al.
Autonomous Building Cyber-Physical Systems Using Decentralized Autonomous Organizations, Digital Twins, and Large Language Modelby Reachsak…
Summary of Interleaving Text and Number Embeddings to Solve Mathemathics Problems, by Marvin Alberts et al.
Interleaving Text and Number Embeddings to Solve Mathemathics Problemsby Marvin Alberts, Gianmarco Gabrieli, Irina Espejo…
Summary of Engineering Trustworthy Ai: a Developer Guide For Empirical Risk Minimization, by Diana Pfau and Alexander Jung
Engineering Trustworthy AI: A Developer Guide for Empirical Risk Minimizationby Diana Pfau, Alexander JungFirst submitted…
Summary of Larctan-skan: Simple and Efficient Single-parameterized Kolmogorov-arnold Networks Using Learnable Trigonometric Function, by Zhijie Chen and Xinglin Zhang
LArctan-SKAN: Simple and Efficient Single-Parameterized Kolmogorov-Arnold Networks using Learnable Trigonometric Functionby Zhijie Chen, Xinglin ZhangFirst…
Summary of Learning Neural Strategy-proof Matching Mechanism From Examples, by Ryota Maruo et al.
Learning Neural Strategy-Proof Matching Mechanism from Examplesby Ryota Maruo, Koh Takeuchi, Hisashi KashimaFirst submitted to…
Summary of Investigating the Role Of Prompting and External Tools in Hallucination Rates Of Large Language Models, by Liam Barkley and Brink Van Der Merwe
Investigating the Role of Prompting and External Tools in Hallucination Rates of Large Language Modelsby…
Summary of Expose Before You Defend: Unifying and Enhancing Backdoor Defenses Via Exposed Models, by Yige Li et al.
Expose Before You Defend: Unifying and Enhancing Backdoor Defenses via Exposed Modelsby Yige Li, Hanxun…
Summary of Offline-to-online Multi-agent Reinforcement Learning with Offline Value Function Memory and Sequential Exploration, by Hai Zhong et al.
Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential Explorationby Hai Zhong, Xun…