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Showing 1376–1400 of 2646 papers

TitleStatusHype
Not All Options Are Created Equal: Textual Option Weighting for Token-Efficient LLM-Based Knowledge Tracing—0
BEYONDWORDS is All You Need: Agentic Generative AI based Social Media Themes Extractor—0
Big Data versus the Crowd: Looking for Relationships in All the Right Places—0
BinarEye: An Always-On Energy-Accuracy-Scalable Binary CNN Processor With All Memory On Chip in 28nm CMOS—0
Bio2Token: All-atom tokenization of any biomolecular structure with Mamba—0
BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once—0
Black-Litterman, Bayesian Shrinkage, and Factor Models in Portfolio Selection: You Can Have It All—0
Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLM—0
Boosting Long-tailed Object Detection via Step-wise Learning on Smooth-tail Data—0
Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All-in-One Classifier—0
Bounds all around: training energy-based models with bidirectional bounds—0
Breaking Character: Are Subwords Good Enough for MRLs After All?—0
Breaking Character: Are Subwords Good Enough for MRLs After All?—0
Bringing Background into the Foreground: Making All Classes Equal in Weakly-supervised Video Semantic Segmentation—0
BrushEdit: All-In-One Image Inpainting and Editing—0
Bucket Pre-training is All You Need—0
Buffer is All You Need: Defending Federated Learning against Backdoor Attacks under Non-iids via Buffering—0
Building Sentiment Lexicons for All Major Languages—0
Byte Pair Encoding Is All You Need For Automatic Bengali Speech Recognition—0
Bytes are All You Need: End-to-End Multilingual Speech Recognition and Synthesis with Bytes—0
Bytes Are All You Need: Transformers Operating Directly On File Bytes—0
Byzantine-Robust Federated Learning over Ring-All-Reduce Distributed Computing—0
CAIBC: Capturing All-round Information Beyond Color for Text-based Person Retrieval—0
CAIFormer: A Causal Informed Transformer for Multivariate Time Series Forecasting—0
Calibrating the Lee-Carter and the Poisson Lee-Carter models via Neural Networks—0
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