Papers
Calibrated Disambiguation for Partial Multi-label Learning
Zhuoming Li, Yuheng Jia, Mi Yu et al.
Calibrated Inference: Statistical Inference that Accounts for Both Sampling Uncertainty and Distributional Uncertainty
Yujin Jeong, Dominik Rothenhäusler
Calibrated Multi-Preference Optimization for Aligning Diffusion Models
Kyungmin Lee, Xiahong Li, Qifei Wang et al.
Calibrating Expressions of Certainty
Peiqi Wang, Barbara D. Lam, Yingcheng Liu et al.
Calibrating Language Models for Neural Ranking under Noisy Supervision with Relaxed Labels
Arnab Sharma, Daniel Vollmers, Axel-Cyrille Ngonga Ngomo
Calibrating Large Language Models with Sample Consistency
Qing Lyu, Kumar Shridhar, Chaitanya Malaviya et al.
Calibrating LLM Confidence by Probing Perturbed Representation Stability
Reza Khanmohammadi, Erfan Miahi, Mehrsa Mardikoraem et al.
Calibrating LLMs for Text-to-SQL Parsing by Leveraging Sub-clause Frequencies
Terrance Liu, Shuyi Wang, Daniel Preotiuc-Pietro et al.
Calibrating LLMs with Information-Theoretic Evidential Deep Learning
Yawei Li, David Rügamer, Bernd Bischl et al.
Calibrating MLLM-as-a-judge via Multimodal Bayesian Prompt Ensembles
Eric Slyman, Mehrab Tanjim, Kushal Kafle et al.
Calibrating Pseudo-Labeling with Class Distribution for Semi-supervised Text Classification
Weiyi Yang, Richong Zhang, Junfan Chen et al.
Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations
Ziwei Ji, Lei Yu, Yeskendir Koishekenov et al.
Calibration Across Layers: Understanding Calibration Evolution in LLMs
Abhinav Joshi, Areeb Ahmad, Ashutosh Modi
Calibration as a Proxy for Fairness and Efficiency in a Perspectivist Ensemble Approach to Irony Detection
Samuel B. Jesus, Guilherme Dal Bianco, Wanderlei Junior et al.
CALICO: Part-Focused Semantic Co-Segmentation with Large Vision-Language Models
Kiet A. Nguyen, Adheesh Juvekar, Tianjiao Yu et al.
CaliMatch: Adaptive Calibration for Improving Safe Semi-supervised Learning
Jinsoo Bae, Seoung Bum Kim, Hyungrok Do
Call for Rigor in Reporting Quality of Instruction Tuning Data
Hyeonseok Moon, Jaehyung Seo, Heuiseok Lim
CALLIC: Content Adaptive Learning for Lossless Image Compression
Daxin Li, Yuanchao Bai, Kai Wang et al.
CalligraphicOCR for Chinese Calligraphy Recognition
Xiaoyi Bao, Zhongqing Wang, Jinghang Gu et al.
CalliReader: Contextualizing Chinese Calligraphy via an Embedding-Aligned Vision-Language Model
Yuxuan Luo, Jiaqi Tang, Chenyi Huang et al.
CALM: Curiosity-Driven Auditing for Large Language Models
Xiang Zheng, Longxiang Wang, Yi Liu et al.
CaLMQA: Exploring culturally specific long-form question answering across 23 languages
Shane Arora, Marzena Karpinska, Hung-Ting Chen et al.
CALM: Unleashing the Cross-Lingual Self-Aligning Ability of Language Model Question Answering
Yumeng Wang, Zhiyuan Fan, Qingyun Wang et al.
CaLQuest.PT: Towards the Collection and Evaluation of Natural Causal Ladder Questions in Portuguese for AI Agents
Uriel Anderson Lasheras, Vladia Pinheiro
CAM-Based Methods Can See through Walls (Extended Abstract)
Magamed Taimeskhanov, Ronan Sicre, Damien Garreau