Papers
Confidence-Driven Multi-Scale Model Selection for Cost-Efficient Inference
Bo-Wei Chen, Chung-Chi Chen, An-Zi Yen
Confidence Leaps in LLM Reasoning: Early Stopping and Cross-Model Transfer
Pavel Tikhonov, Ivan Oseledets, Elena Tutubalina
Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment
Tiejin Chen, Xiaoou Liu, Vishnu Nandam et al.
CONGRAD: Conflicting Gradient Filtering for Multilingual Preference Alignment
Jiangnan Li, Thuy-Trang Vu, Christian Herold et al.
ConLID: Supervised Contrastive Learning for Low-Resource Language Identification
Negar Foroutan, Jakhongir Saydaliev, Grace Kim et al.
ConRAS: Contrastive In-context Learning Framework for Retrieval-Augmented Summarization
Juseon Do, Sungwoo Han, Jingun Kwon et al.
Constructing a Dataset for Hallucination Detection in Japanese Summarization with Fine-grained Faithfulness Labels
Hikari Tanaka, Atsushi Keyaki, Mamoru Komachi
Contextual morphologically-guided tokenization for Latin encoder models
Marisa Hudspeth, Patrick J. Burns, Brendan O'Connor
Context Volume Drives Performance: Tackling Domain Shift in Extremely Low-Resource Translation via RAG
David Samuel Setiawan, Raphaël Merx, Jey Han Lau
Continual-learning for Modelling Low-Resource Languages from Large Language Models
Santosh Srinath K, Mudit Somani, Varun Reddy Padala et al.
Continual Neural Topic Model
Charu Karakkaparambil James, Waleed Mustafa, Marcio Monteiro et al.
Continual Pretraining on Encrypted Synthetic Data for Privacy-Preserving LLMs
Honghao Liu, Xuhui Jiang, Chengjin Xu et al.
Contrastive Learning with Narrative Twins for Modeling Story Salience
Igor Sterner, Alex Lascarides, Frank Keller
Contributing to Speech-to-Speech Translation for African Low-Resource Languages : Study of French-Mooré Pair
Fayçal S. A. Ouedraogo, Maimouna Ouattara, Rodrique Kafando et al.
Controlling Reading Ease with Gaze-Guided Text Generation
Andreas Säuberli, Darja Jepifanova, Diego Frassinelli et al.
ConvApparel: A Benchmark Dataset and Validation Framework for User Simulators in Conversational Recommenders
Ofer Meshi, Krisztian Balog, Sally Goldman et al.
ConVerse: Benchmarking Contextual Safety in Agent-to-Agent Conversations
Amr Gomaa, Ahmed Salem, Sahar Abdelnabi
Coordinates from Context: Using LLMs to Ground Complex Location References
Tessa Masis, Brendan O'Connor
CORE: Measuring Multi-Agent LLM Interaction Quality under Game-Theoretic Pressures
Punya Syon Pandey, Yongjin Yang, Jiarui Liu et al.
CoReTab: Improving Multimodal Table Understanding with Code-driven Reasoning
Van-Quang Nguyen, Takayuki Okatani
Cosine Similarity as Logits?: A Scalable Knowledge Probe Using Embedding Vectors from Generative Language Models
Tomoyuki Jinno, Kazuki Hayashi, Yusuke Sakai et al.
Council of LLMs: Evaluating Capability of Large Language Models to Annotate Propaganda
Vivek Sharma, Shweta Jain, Mohammad Shokri et al.
Coupling Local Context and Global Semantic Prototypes via a Hierarchical Architecture for Rhetorical Roles Labeling
Anas Belfathi, Nicolas Hernandez, Monceaux Laura et al.
CRADLE Bench: A Clinician-Annotated Benchmark for Multi-Faceted Mental Health Crisis and Safety Risk Detection
Grace Byun, Rebecca Lipschutz, Sean T. Minton et al.
Crafting Adversarial Inputs for Large Vision-Language Models Using Black-Box Optimization
Jiwei Guan, Haibo Jin, Haohan Wang