Summary of Skeleton: a New Framework For Accelerating Language Models Via Task Neuron Localized Prompt Tuning, by Nakyeong Yang et al.
Skeleton: A New Framework for Accelerating Language Models via Task Neuron Localized Prompt Tuningby Nakyeong…
Summary of E2etune: End-to-end Knob Tuning Via Fine-tuned Generative Language Model, by Xinmei Huang et al.
E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Modelby Xinmei Huang, Haoyang Li, Jing Zhang,…
Summary of Improving Composed Image Retrieval Via Contrastive Learning with Scaling Positives and Negatives, by Zhangchi Feng et al.
Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negativesby Zhangchi Feng, Richong…
Summary of Minicheck: Efficient Fact-checking Of Llms on Grounding Documents, by Liyan Tang et al.
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documentsby Liyan Tang, Philippe Laban, Greg DurrettFirst submitted…
Summary of Negation Triplet Extraction with Syntactic Dependency and Semantic Consistency, by Yuchen Shi et al.
Negation Triplet Extraction with Syntactic Dependency and Semantic Consistencyby Yuchen Shi, Deqing Yang, Jingping Liu,…
Summary of Effects Of Different Prompts on the Quality Of Gpt-4 Responses to Dementia Care Questions, by Zhuochun Li et al.
Effects of Different Prompts on the Quality of GPT-4 Responses to Dementia Care Questionsby Zhuochun…
Summary of Oda: Observation-driven Agent For Integrating Llms and Knowledge Graphs, by Lei Sun et al.
ODA: Observation-Driven Agent for integrating LLMs and Knowledge Graphsby Lei Sun, Zhengwei Tao, Youdi Li,…
Summary of Rho-1: Not All Tokens Are What You Need, by Zhenghao Lin et al.
Rho-1: Not All Tokens Are What You Needby Zhenghao Lin, Zhibin Gou, Yeyun Gong, Xiao…
Summary of Learn From Failure: Fine-tuning Llms with Trial-and-error Data For Intuitionistic Propositional Logic Proving, by Chenyang An et al.
Learn from Failure: Fine-Tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Provingby Chenyang An,…
Summary of Behavior Trees Enable Structured Programming Of Language Model Agents, by Richard Kelley
Behavior Trees Enable Structured Programming of Language Model Agentsby Richard KelleyFirst submitted to arxiv on:…