Loud or Silent? A Reusable Framework for Per-Modality Failure Analysis in Multimodal Clin…
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Noticias de IA
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Does the Competitive Component of Adversarial Self-Play Improve Legal Reasoning? A Contro…
SymboUQ: Symbolic Uncertainty Quantification for Spatial Reasoning in LLMs
Bayesian and Motivated Reasoning in AI Agents
Leveraging Synthetic Data for Question Answering with Multilingual LLMs in the Agricultur…
PolymerGPT: Multi-property Optimization with a Decoder-Based GPT Model for Generative Pol…
F-WANDA: Fisher-Reweighted Post-Training Pruning for Sustainable Deployment of Large Lang…
MRAFnd: Multimodal Retrieval-Augmented Framework for Zero-Shot Fake News Detection
Reusing Rollouts under Policy Lag: Prefix-Normalized Policy Optimization for LLM Reinforc…
CraftAlign: Feature-Grounded Evaluation and Revision Guidance for AI Stories
Agentic Stage-One Stellarator Optimization: Autonomous Multi-Objective Search for Finite-…
G-ReAct: Graph-Guided Deep Search via Structure-State Co-Evolution
Is More Privileged Information Better? From Solution Traces to Problem-Solving Structure …
Empirical investigation of 3D CT Foundation Models and Unsupervised Adaptation for Head a…
KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval
CRAFTS: Collaborative Role-Adaptive Fine-Tuning of LLM Agents for Chemical Process Simula…
BayesSeg: A Bayesian Optimization Framework for State Segmentation of Electricity Consump…
GPrune-LLM: Generalization-Aware Structured Pruning for Large Language Models
MAPLE: Metadata Augmented Private Language Evolution
PROGRESS: Coverage-guided RL to Train Search-augmented LLM Agent
Cloud-ScPO: Hidden-State Geometry for Semi-Supervised Preference Optimization in LLM Reas…
DexMani: Human-Derived Manipulability Guidance for Dexterous Rotation
Can Humans Dream of Electric Sheep? Human-Written Samples for Fine-Grained Vision-and-Lan…
Stop When Memory Suffices: Evidence-Conditioned Progressive Execution for LLM Agents
Hierarchical Solomonoff Induction: An Unbounded Machine Learning Model
Riemannian Attention Mechanisms for Transformers: A Theoretical Framework and Architectur…
AdaHAT: Adaptive Hard Attention to the Task in Task-Incremental Learning
StreamTalk: Streaming Co-Speech Gesture Generation with Key-Pose Anchoring
Through the LENS: Local Geometric Decomposition of Vision-Language Model Representations
Reputation-driven Cooperation in Lattice-based Decentralized Federated Learning through E…