Summary of Tablegpt2: a Large Multimodal Model with Tabular Data Integration, by Aofeng Su et al.
TableGPT2: A Large Multimodal Model with Tabular Data Integrationby Aofeng Su, Aowen Wang, Chao Ye,…
Summary of Attackqa: Development and Adoption Of a Dataset For Assisting Cybersecurity Operations Using Fine-tuned and Open-source Llms, by Varun Badrinath Krishna
AttackQA: Development and Adoption of a Dataset for Assisting Cybersecurity Operations using Fine-tuned and Open-Source…
Summary of Llm-inference-bench: Inference Benchmarking Of Large Language Models on Ai Accelerators, by Krishna Teja Chitty-venkata et al.
LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Acceleratorsby Krishna Teja Chitty-Venkata, Siddhisanket Raskar,…
Summary of Auto-intent: Automated Intent Discovery and Self-exploration For Large Language Model Web Agents, by Jaekyeom Kim et al.
Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agentsby Jaekyeom Kim, Dong-Ki…
Summary of Mitigating Paraphrase Attacks on Machine-text Detectors Via Paraphrase Inversion, by Rafael Rivera Soto et al.
Mitigating Paraphrase Attacks on Machine-Text Detectors via Paraphrase Inversionby Rafael Rivera Soto, Barry Chen, Nicholas…
Summary of Shadowkv: Kv Cache in Shadows For High-throughput Long-context Llm Inference, by Hanshi Sun et al.
ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inferenceby Hanshi Sun, Li-Wen Chang, Wenlei…
Summary of Blast: Block-level Adaptive Structured Matrices For Efficient Deep Neural Network Inference, by Changwoo Lee et al.
BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inferenceby Changwoo Lee, Soo Min…
Summary of Neuzip: Memory-efficient Training and Inference with Dynamic Compression Of Neural Networks, by Yongchang Hao et al.
NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networksby Yongchang Hao, Yanshuai Cao,…
Summary of Llama Scope: Extracting Millions Of Features From Llama-3.1-8b with Sparse Autoencoders, by Zhengfu He et al.
Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse Autoencodersby Zhengfu He, Wentao Shu,…
Summary of Safe Setup For Generative Molecular Design, by Yassir El Mesbahi and Emmanuel Noutahi
SAFE setup for generative molecular designby Yassir El Mesbahi, Emmanuel NoutahiFirst submitted to arxiv on:…