Inverse Reinforcement Learning without an Optimal Demonstrator: A Feasible Reward Set App…
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BlueFin: Benchmarking LLM Agents on Financial Spreadsheets
What Makes LVLMs Hallucinate Less? Unveiling the Architectural Factors Behind Hallucinati…
Do Large Language Models Encode Institutional Experience? Evidence from Cross-Linguistic …
ImmersiveTTS: Environment-Aware Text-to-Speech with Multimodal Diffusion Transformer and …
DEM: A Distilled Explanation Model for Interpretable Anomaly Detection in Physiological S…
Annealed Softmax Greedy in Many-Armed Bayesian Bandits
Generating Reports or Repeating Templates? Measuring and Mitigating Template Collapse in …
Routing on the Stiefel Manifold: When Does Adaptive Subspace Selection Help for Cross-Dom…
Linear Ordering Problem: Time for a Change
Fighting Numerical Hallucinations via Data-centric Compilation for Online Financial QA
DRIFT: Joint Channel Estimation and Prediction Towards Pilotless 6G Non-Terrestrial Netwo…
A Pilot Study on Curator-Guided Multilingual Art Description for Blind and Low-Vision Aud…
Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Seg…
TARIC: Memory-Augmented Traversability-Aware Outdoor VLN under Interrupted Semantic Cues
Not All Synthetic Data Is Yours to Learn From
UXR PoV for Neuroinclusive Emotion Regulation
Extending the UXR Point of View Pyramid: A Generative AI-Augmented Methodology for Human-…
FOCUS: Forcing In-Context Object Localization through Visual Support Constraints and Poli…
On the Robustness of Multilingual Text Embedding Rankings Across Learning Tasks, Language…
SpatialAct: Probing Spatial Reasoning-to-Action Capabilities of VLM Agents in 3D Scenes
Developing a Culturally Grounded, AI-Augmented UX Research Point of View (POV): An Exempl…
Trust-Region Behavior Blending for On-Policy Distillation
Emergent Languages in Populations of Language Model Agents: From Token Efficiency to Over…
MindVoice: Reconstructing Intelligible Speech from Non-invasive Neural Signals with Pretr…
Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration
Benchmarking and Enhancing Text-to-Image Models for Generating Visual Representations in …
What changes after deployment? A survey on On-device Learning in TinyML
Correcting Split Selection in Online Decision Trees via Anytime-Valid Inference
Entropic Projection Alignment: Estimating, Explaining, and Improving Model Performance Un…