Summary of Gptree: Towards Explainable Decision-making Via Llm-powered Decision Trees, by Sichao Xiong et al.
GPTree: Towards Explainable Decision-Making via LLM-powered Decision Treesby Sichao Xiong, Yigit Ihlamur, Fuat Alican, Aaron…
Summary of Zer0-jack: a Memory-efficient Gradient-based Jailbreaking Method For Black-box Multi-modal Large Language Models, by Tiejin Chen et al.
Zer0-Jack: A Memory-efficient Gradient-based Jailbreaking Method for Black-box Multi-modal Large Language Modelsby Tiejin Chen, Kaishen…
Summary of Universal Response and Emergence Of Induction in Llms, by Niclas Luick
Universal Response and Emergence of Induction in LLMsby Niclas LuickFirst submitted to arxiv on: 11…
Summary of Llm Vocabulary Compression For Low-compute Environments, by Sreeram Vennam et al.
LLM Vocabulary Compression for Low-Compute Environmentsby Sreeram Vennam, Anish Joishy, Ponnurangam KumaraguruFirst submitted to arxiv…
Summary of Neko: Toward Post Recognition Generative Correction Large Language Models with Task-oriented Experts, by Yen-ting Lin et al.
NeKo: Toward Post Recognition Generative Correction Large Language Models with Task-Oriented Expertsby Yen-Ting Lin, Chao-Han…
Summary of Findver: Explainable Claim Verification Over Long and Hybrid-content Financial Documents, by Yilun Zhao et al.
FinDVer: Explainable Claim Verification over Long and Hybrid-Content Financial Documentsby Yilun Zhao, Yitao Long, Yuru…
Summary of Gpt Semantic Cache: Reducing Llm Costs and Latency Via Semantic Embedding Caching, by Sajal Regmi et al.
GPT Semantic Cache: Reducing LLM Costs and Latency via Semantic Embedding Cachingby Sajal Regmi, Chetan…
Summary of Adversarial Robustness Of In-context Learning in Transformers For Linear Regression, by Usman Anwar et al.
Adversarial Robustness of In-Context Learning in Transformers for Linear Regressionby Usman Anwar, Johannes Von Oswald,…
Summary of Towards Interpreting Language Models: a Case Study in Multi-hop Reasoning, by Mansi Sakarvadia
Towards Interpreting Language Models: A Case Study in Multi-Hop Reasoningby Mansi SakarvadiaFirst submitted to arxiv…
Summary of Can Custom Models Learn In-context? An Exploration Of Hybrid Architecture Performance on In-context Learning Tasks, by Ryan Campbell et al.
Can Custom Models Learn In-Context? An Exploration of Hybrid Architecture Performance on In-Context Learning Tasksby…