Papers
ConText-LE: Cross-Distribution Generalization for Longitudinal Experiential Data via Narrative-Based LLM Representations
Ahatsham Hayat, Bilal Khan, Mohammad Rashedul Hasan
Context Length Alone Hurts LLM Performance Despite Perfect Retrieval
Yufeng Du, Minyang Tian, Srikanth Ronanki et al.
Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement Learning
Wenbin Hu, Haoran Li, Huihao Jing et al.
Continual Learning of Large Language Models
Tongtong Wu, Trang Vu, Linhao Luo et al.
Continuously Steering LLMs Sensitivity to Contextual Knowledge with Proxy Models
Yilin Wang, Heng Wang, Yuyang Bai et al.
Continuous-Time Attention: PDE-Guided Mechanisms for Long-Sequence Transformers
Yukun Zhang, Xueqing Zhou
Contra4: Evaluating Contrastive Cross-Modal Reasoning in Audio, Video, Image, and 3D
Artemis Panagopoulou, Le Xue, Honglu Zhou et al.
ContractEval: Benchmarking LLMs for Clause-Level Legal Risk Identification in Commercial Contracts
Shuang Liu, Zelong Li, Ruoyun Ma et al.
Contrastive Decoding for Synthetic Data Generation in Low-Resource Language Modeling
Jannek Ulm, Kevin Du, Vésteinn Snæbjarnarson
Contrastive Learning Using Graph Embeddings for Domain Adaptation of Language Models in the Process Industry
Anastasia Zhukova, Jonas Lührs, Christian E. Lobmüller et al.
Controllable Clustering with LLM-driven Embeddings
Kerria Pang-Naylor, Shivani Manivasagan, Aitong Zhong et al.
Controllable Memorization in LLMs via Weight Pruning
Chenjie Ni, Zhepeng Wang, Runxue Bao et al.
Controlled Generation for Private Synthetic Text
Zihao Zhao, Anjalie Field
Controlled Retrieval-augmented Context Evaluation for Long-form RAG
Jia-Huei Ju, Suzan Verberne, Maarten de Rijke et al.
ControlText: Unlocking Controllable Fonts in Multilingual Text Rendering without Font Annotations
Bowen Jiang, Yuan Yuan, Xinyi Bai et al.
Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers
Yingyu Liang, Heshan Liu, Zhenmei Shi et al.
Convergence and Divergence of Language Models under Different Random Seeds
Finlay Fehlauer, Kyle Mahowald, Tiago Pimentel
Conversational Education at Scale: A Multi-LLM Agent Workflow for Procedural Learning and Pedagogic Quality Assessment
Jiahuan Pei, Fanghua Ye, Xin Sun et al.
Convolutional LoRA Aggregation for Unseen Tasks Adaptation
Xinhao Wu, Jialin Liu, Yutai Duan et al.
ConvSearch-R1: Enhancing Query Reformulation for Conversational Search with Reasoning via Reinforcement Learning
Changtai Zhu, Siyin Wang, Ruijun Feng et al.
CoPL: Collaborative Preference Learning for Personalizing LLMs
Youngbin Choi, Seunghyuk Cho, Minjong Lee et al.
Copyright Infringement by Large Language Models in the EU: Misalignment, Safeguards, and the Path Forward
Noah Scharrenberg, Chang Sun
CopySpec: Accelerating LLMs with Speculative Copy-and-Paste
Razvan-Gabriel Dumitru, Minglai Yang, Vikas Yadav et al.