Papers
AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research
Yilun Zhao, Weiyuan Chen, Zhijian Xu et al.
A Bias-Free Training Paradigm for More General AI-generated Image Detection
Fabrizio Guillaro, Giada Zingarini, Ben Usman et al.
A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets
Ossi Räisä, Antti Honkela
A Biconvex Method for Minimum-Time Motion Planning Through Sequences of Convex Sets
Tobia Marcucci, Mathew Halm, William Yang et al.
Ability Transfer Through Language Mixing
Petr Hyner, Jan Mrógala, Jan Hula
Ability Transfer Through Language Mixing
Petr Hyner, Jan Mrógala, Jan Hula
A Bit of This, a Bit of That: Building a Genre and Topic Annotated Dataset of Historical Newspaper Articles with Soft Labels and Confidence Scores
Karin Stahel, Irenie How, Lauren Millar et al.
Abjad AI at NADI 2025: CATT-Whisper: Multimodal Diacritic Restoration Using Text and Speech Representations
Ahmad Ghannam, Naif Alharthi, Faris Alasmary et al.
ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $α$-$β$-Divergence
Guanghui Wang, Zhiyong Yang, Zitai Wang et al.
A Black-Box Evaluation Framework for Semantic Robustness in Bird’s Eye View Detection
Fu Wang, Yanghao Zhang, Xiangyu Yin et al.
A Black Swan Hypothesis: The Role of Human Irrationality in AI Safety
Hyunin Lee, Chanwoo Park, David Abel et al.
Ableism, Ageism, Gender, and Nationality bias in Norwegian and Multilingual Language Models
Martin Sjåvik, Samia Touileb
ABNet: Adaptive explicit-Barrier Net for Safe and Scalable Robot Learning
Wei Xiao, Tsun-Hsuan Wang, Chuang Gan et al.
ABNet: Mitigating Sample Imbalance in Anomaly Detection Within Dynamic Graphs
Yifan Hong, Muhammad Asif Ali, Huan Wang et al.
Abnormality-Driven Representation Learning for Radiology Imaging
Marta Ligero, Tim Lenz, Georg Wölflein et al.
A Boundary-aware Cold-Diffusion Model for Electron Microscopy Segmentation
Muge Qi, Ruohua Shi, Yu Cai et al.
A Bounding Box is Worth One Token - Interleaving Layout and Text in a Large Language Model for Document Understanding
Jinghui Lu, Haiyang Yu, Yanjie Wang et al.
ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Models
Chao Zeng, Songwei Liu, Yusheng Xie et al.
A Bregman Proximal Viewpoint on Neural Operators
Abdel-Rahim Mezidi, Jordan Patracone, Saverio Salzo et al.
A Brief Overview of the First Workshop on Challenges in Processing South Asian Languages (CHiPSAL)
Kengatharaiyer Sarveswaran, Surendrabikram Thapa, Sana Shams et al.
Abstraction-Based Control of Unknown Continuous-Space Models with Just Two Trajectories
Behrad Samari, Mahdieh Zaker, Abolfazl Lavaei
Abstraction Heuristics for Classical Planning Tasks with Conditional Effects
Martín Pozo, Jendrik Seipp
Abstractive Summarization of Low resourced Nepali language using Multilingual Transformers
Prakash Dhakal, Daya Sagar Baral
AbsVis – Benchmarking How Humans and Vision-Language Models “See” Abstract Concepts in Images
Tarun Tater, Diego Frassinelli, Sabine Schulte im Walde