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Showing 26–50 of 2646 papers

TitleStatusHype
Flipping Against All Odds: Reducing LLM Coin Flip Bias via Verbalized Rejection Sampling—0
One For All: LLM-based Heterogeneous Mission Planning in Precision Agriculture—0
Not all those who drift are lost: Drift correction and calibration scheduling for the IoT—0
MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning—0
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration—0
Few Labels are all you need: A Weakly Supervised Framework for Appliance Localization in Smart-Meter SeriesCode0
Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models—0
Evaluation is All You Need: Strategic Overclaiming of LLM Reasoning Capabilities Through Evaluation Design—0
Was Residual Penalty and Neural Operators All We Needed for Solving Optimal Control Problems?—0
SupeRANSAC: One RANSAC to Rule Them AllCode3
Selective Matching Losses -- Not All Scores Are Created Equal—0
HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation—0
Pruning Everything, Everywhere, All at OnceCode0
Response-Level Rewards Are All You Need for Online Reinforcement Learning in LLMs: A Mathematical Perspective—0
Not All Jokes Land: Evaluating Large Language Models Understanding of Workplace Humor—0
Fast or Slow? Integrating Fast Intuition and Deliberate Thinking for Enhancing Visual Question Answering—0
Uni-LoRA: One Vector is All You Need—0
Boosting All-in-One Image Restoration via Self-Improved Privilege LearningCode1
Draw ALL Your Imagine: A Holistic Benchmark and Agent Framework for Complex Instruction-based Image GenerationCode1
Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You NeedCode0
A Descriptor Is All You Need: Accurate Machine Learning of Nonadiabatic Coupling VectorsCode0
From Controlled Scenarios to Real-World: Cross-Domain Degradation Pattern Matching for All-in-One Image Restoration—0
Fast Isotropic Median FilteringCode1
Is Hyperbolic Space All You Need for Medical Anomaly Detection?—0
BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image RestorationCode2
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