Papers
COAT: Compressing Optimizer states and Activations for Memory-Efficient FP8 Training
Haocheng Xi, Han Cai, Ligeng Zhu et al.
Towards Understanding the Robustness of Diffusion-Based Purification: A Stochastic Perspective
Yiming Liu, Kezhao Liu, Yao Xiao et al.
Generative Verifiers: Reward Modeling as Next-Token Prediction
Lunjun Zhang, Arian Hosseini, Hritik Bansal et al.
CertainlyUncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness
Khyathi Chandu, Linjie Li, Anas Awadalla et al.
Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
Chenglei Si, Diyi Yang, Tatsunori Hashimoto
Improving Generalization and Robustness in SNNs Through Signed Rate Encoding and Sparse Encoding Attacks
Bhaskar Mukhoty, Hilal AlQuabeh, Bin Gu
Distributed Speculative Inference (DSI): Speculation Parallelism for Provably Faster Lossless Language Model Inference
Nadav Timor, Jonathan Mamou, Daniel Korat et al.
Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling
Hritik Bansal, Arian Hosseini, Rishabh Agarwal et al.
3DGS-Drag: Dragging Gaussians for Intuitive Point-Based 3D Editing
Jiahua Dong, Yu-Xiong Wang
Non-myopic Generation of Language Models for Reasoning and Planning
Chang Ma, Haiteng Zhao, Junlei Zhang et al.
A3D: Does Diffusion Dream about 3D Alignment?
Savva Victorovich Ignatyev, Nina Konovalova, Daniil Selikhanovych et al.
Unlearn and Burn: Adversarial Machine Unlearning Requests Destroy Model Accuracy
Yangsibo Huang, Daogao Liu, Lynn Chua et al.
MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark
S Sakshi, Utkarsh Tyagi, Sonal Kumar et al.
Linear Transformer Topological Masking with Graph Random Features
Isaac Reid, Kumar Avinava Dubey, Deepali Jain et al.
Variance-Reducing Couplings for Random Features
Isaac Reid, Stratis Markou, Krzysztof Marcin Choromanski et al.
Privacy Auditing of Large Language Models
Ashwinee Panda, Xinyu Tang, Christopher A. Choquette-Choo et al.
Rethinking Fair Representation Learning for Performance-Sensitive Tasks
Charles Jones, Fabio De Sousa Ribeiro, Mélanie Roschewitz et al.
Contextualizing biological perturbation experiments through language
Menghua Wu, Russell Littman, Jacob Levine et al.
cryoSPHERE: Single-Particle HEterogeneous REconstruction from cryo EM
Gabriel Ducrocq, Lukas Grunewald, Sebastian Westenhoff et al.
DON’T STOP ME NOW: EMBEDDING BASED SCHEDULING FOR LLMS
Rana Shahout, eran malach, Chunwei Liu et al.
EIA: ENVIRONMENTAL INJECTION ATTACK ON GENERALIST WEB AGENTS FOR PRIVACY LEAKAGE
Zeyi Liao, Lingbo Mo, Chejian Xu et al.
Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation
Zhaochong An, Guolei Sun, Yun Liu et al.
Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy
Tong Wu, Shujian Zhang, Kaiqiang Song et al.
Enhancing Language Model Agents using Diversity of Thoughts
Vijay Lingam, Behrooz Omidvar Tehrani, Sujay Sanghavi et al.
SelectFormer in Data Markets: Privacy-Preserving and Efficient Data Selection for Transformers with Multi-Party Computation
Xu Ouyang, Felix Xiaozhu Lin, Yangfeng Ji