Papers
Compute Optimal Inference and Provable Amortisation Gap in Sparse Autoencoders
Charles O’Neill, Alim Gumran, David Klindt
Compute-Optimal LLMs Provably Generalize Better with Scale
Marc Anton Finzi, Sanyam Kapoor, Diego Granziol et al.
Compute Optimal Scaling of Skills: Knowledge vs Reasoning
Nicholas Roberts, Niladri S. Chatterji, Sharan Narang et al.
Compute or Load KV Cache? Why Not Both?
Shuowei Jin, Xueshen Liu, Qingzhao Zhang et al.
Computing Circuits Optimization via Model-Based Circuit Genetic Evolution
Zhihai Wang, Jie Wang, Xilin Xia et al.
Computing Game Symmetries and Equilibria That Respect Them
Emanuel Tewolde, Brian Hu Zhang, Caspar Oesterheld et al.
Computing High-dimensional Confidence Sets for Arbitrary Distributions
Chao Gao, Liren Shan, Vaidehi Srinivas et al.
Computing high-dimensional optimal transport by flow neural networks
Chen Xu, Xiuyuan Cheng, Yao Xie
Computing Optimal Regularizers for Online Linear Optimization
Khashayar Gatmiry, Jon Schneider, Stefanie Jegelka
Computing Optimal Transport Maps and Wasserstein Barycenters Using Conditional Normalizing Flows
Gabriele Visentin, Patrick Cheridito
Computing Perfect Bayesian Equilibria in Sequential Auctions with Verification
Vinzenz Thoma, Vitor Bosshard, Sven Seuken
Computing Quasi-Nash Equilibria via Gradient-Response Schemes
Zhuoyu Xiao, Uday V. Shanbhag
Computing Voting Rules with Improvement Feedback
Evi Micha, Vasilis Varsamis
ComRAG: Retrieval-Augmented Generation with Dynamic Vector Stores for Real-time Community Question Answering in Industry
Qinwen Chen, Wenbiao Tao, Zhiwei Zhu et al.
COMRECGC: Global Graph Counterfactual Explainer through Common Recourse
Gregoire Fournier, Sourav Medya
ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices
Hao Yu, Tangyu Jiang, Shuning Jia et al.
CoMT: A Novel Benchmark for Chain of Multi-modal Thought on Large Vision-Language Models
Zihui Cheng, Qiguang Chen, Jin Zhang et al.
CoMuMDR: Code-mixed Multi-modal Multi-domain corpus for Discourse paRsing in conversations
Divyaksh Shukla, Ritesh Baviskar, Dwijesh Gohil et al.
Conan-Embedding-v2: Training an LLM from Scratch for Text Embeddings
Shiyu Li, Yang Tang, Ruijie Liu et al.
Concentrate on Weakness: Mining Hard Prototypes for Few-Shot Medical Image Segmentation
Jianchao Jiang, Haofeng Zhang
Concentration Distribution Learning from Label Distributions
Jiawei Tang, Yuheng Jia
Concentration of Cumulative Reward in Markov Decision Processes
Borna Sayedana, Peter E. Caines, Aditya Mahajan
ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features
Alec Helbling, Tuna Han Salih Meral, Benjamin Hoover et al.
Concept-Based RAG Models: A High-Accuracy Fact Retrieval Approach
Cheng-Yu Lin, Jyh-Shing Jang