Papers
Computation Mechanism Behind LLM Position Generalization
Chi Han, Heng Ji
Compute-Constrained Data Selection
Junjie Yin, Alexander M Rush
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.
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 Perfect Bayesian Equilibria in Sequential Auctions with Verification
Vinzenz Thoma, Vitor Bosshard, Sven Seuken
ComRAG: Retrieval-Augmented Generation with Dynamic Vector Stores for Real-time Community Question Answering in Industry
Qinwen Chen, Wenbiao Tao, Zhiwei Zhu et al.
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 of Cumulative Reward in Markov Decision Processes
Borna Sayedana, Peter E. Caines, Aditya Mahajan
Concept-Based RAG Models: A High-Accuracy Fact Retrieval Approach
Cheng-Yu Lin, Jyh-Shing Jang
Concept Bottleneck Language Models For Protein Design
Aya Abdelsalam Ismail, Tuomas Oikarinen, Amy Wang et al.
Concept Bottleneck Large Language Models
Chung-En Sun, Tuomas Oikarinen, Berk Ustun et al.
ConceptCarve: Dynamic Realization of Evidence
Eylon Caplan, Dan Goldwasser
Concept Conductor: Orchestrating Multiple Personalized Concepts in Text-to-Image Synthesis
Zebin Yao, Fangxiang Feng, Ruifan Li et al.
Concept Distillation from Strong to Weak Models via Hypotheses-to-Theories Prompting
Emmanuel Aboah Boateng, Cassiano O Becker, Nabiha Asghar et al.
Concept Lancet: Image Editing with Compositional Representation Transplant
Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan et al.
Concept Matching with Agent for Out-of-Distribution Detection
Yuxiao Lee, Xiaofeng Cao, Jingcai Guo et al.
Concept-pedia: a Wide-coverage Semantically-annotated Multimodal Dataset
Karim Ghonim, Andrei Stefan Bejgu, Alberte Fernández-Castro et al.