Summary of Humanizing the Machine: Proxy Attacks to Mislead Llm Detectors, by Tianchun Wang et al.
Humanizing the Machine: Proxy Attacks to Mislead LLM Detectorsby Tianchun Wang, Yuanzhou Chen, Zichuan Liu,…
Summary of Baton: Enhancing Batch-wise Inference Efficiency For Large Language Models Via Dynamic Re-batching, by Peizhuang Cong et al.
BATON: Enhancing Batch-wise Inference Efficiency for Large Language Models via Dynamic Re-batchingby Peizhuang Cong, Qizhi…
Summary of From Imitation to Introspection: Probing Self-consciousness in Language Models, by Sirui Chen et al.
From Imitation to Introspection: Probing Self-Consciousness in Language Modelsby Sirui Chen, Shu Yu, Shengjie Zhao,…
Summary of Probabilistic Language-image Pre-training, by Sanghyuk Chun and Wonjae Kim and Song Park and Sangdoo Yun
Probabilistic Language-Image Pre-Trainingby Sanghyuk Chun, Wonjae Kim, Song Park, Sangdoo YunFirst submitted to arxiv on:…
Summary of Fedbaf: Federated Learning Aggregation Biased by a Foundation Model, By Jong-ik Park et al.
FedBaF: Federated Learning Aggregation Biased by a Foundation Modelby Jong-Ik Park, Srinivasa Pranav, José M.…
Summary of Zip-fit: Embedding-free Data Selection Via Compression-based Alignment, by Elyas Obbad et al.
ZIP-FIT: Embedding-Free Data Selection via Compression-Based Alignmentby Elyas Obbad, Iddah Mlauzi, Brando Miranda, Rylan Schaeffer,…
Summary of Influential Language Data Selection Via Gradient Trajectory Pursuit, by Zhiwei Deng et al.
Influential Language Data Selection via Gradient Trajectory Pursuitby Zhiwei Deng, Tao Li, Yang LiFirst submitted…
Summary of Bayesian Scaling Laws For In-context Learning, by Aryaman Arora et al.
Bayesian scaling laws for in-context learningby Aryaman Arora, Dan Jurafsky, Christopher Potts, Noah D. GoodmanFirst…
Summary of Xgen-mm-vid (blip-3-video): You Only Need 32 Tokens to Represent a Video Even in Vlms, by Michael S. Ryoo et al.
xGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMsby Michael…
Summary of M-rewardbench: Evaluating Reward Models in Multilingual Settings, by Srishti Gureja et al.
M-RewardBench: Evaluating Reward Models in Multilingual Settingsby Srishti Gureja, Lester James V. Miranda, Shayekh Bin…