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Latest Research — Page 108
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- Latent Reasoning VLA: Latent Thinking and Prediction for Vision-Language-Action Models
- ProbLog4Fairness: A Neurosymbolic Approach to Modeling and Mitigating Bias
- Task-free Adaptive Meta Black-box Optimization
- Factorizable joint shift revisited
- RaBiT: Residual-Aware Binarization Training for Accurate and Efficient LLMs
- Task Matrices: Linear Maps for Cross-Model Finetuning Transfer
- BrepGaussian: CAD reconstruction from Multi-View Images with Gaussian Splatting
- VideoCoF: Unified Video Editing with Temporal Reasoner
- EddyFormer: Accelerated Neural Simulations of Three-Dimensional Turbulence at Scale
- Inclusive Fitness as a Key Step Towards More Advanced Social Behaviors in Multi-Agent Reinforcement Learning Settings
- Singular Bayesian Neural Networks
- Transient multimode heat transfer of an industrial automated tape laying process under rapidly changing conditions
- SimBEV2X: A Large-Scale Dataset and Data Generation Tool for Multi-Task Vehicle-to-Everything Cooperative Perception
- Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression
- Reinforcement Learning in POMDP's via Direct Gradient Ascent
- Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching
- CHIPS: Efficient CLIP Adaptation via Curvature-aware Hybrid Influence-based Data Selection
- DR-Arena: an Automated Evaluation Framework for Deep Research Agents
- DiscoSign: Discourse-Aware Text to Sign Language Gloss Translation
- LAFA: Agentic LLM-Driven Federated Analytics over Decentralized Data Sources
- Bounded Hyperbolic Tangent: A Stable and Efficient Alternative to Pre-Layer Normalization in Large Language Models
- Principled Fine-tuning of LLMs from User-Edits: A Medley of Preference, Supervision, and Reward
- Membership Inference Attacks Against Fine-tuned Diffusion Language Models
- Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models
- Picking a Representative Set of Solutions in Multiobjective Optimization: Axioms, Algorithms, and Experiments
- IG-Pruning: Input-Guided Block Pruning for Large Language Models
- Adaptive Minds: Empowering Agents with LoRA-as-Tools
- Design and development of an electronics-free earthworm robot
- Exploratory, Communicative, and Deployable: Vision-Driven Embodied Agents for Open-World Mobile Manipulation
- Learning to Evict from Key-Value Cache
- YallaMorph: A Benchmark for Evaluating Arabic Morphological Generation in Large Language Models
- LongRLVR: Long-Context Reinforcement Learning Requires Verifiable Context Rewards
- Forest Before Trees: Latent Superposition for Efficient Visual Reasoning
- Do Tabular Foundation Models Know Physics? Contamination, Units, and the Deterministic Limit
- PatientAct: Theory-Grounded Mental Health Client Simulation
- Monte Carlo Expected Threat (MOCET) Scoring
- IntroLM: Introspective Language Models via Prefilling-Time Self-Evaluation
- Hierarchical Schedule Optimization for Fast and Robust Diffusion Model Sampling
- AC2L-GAD: Active Counterfactual Contrastive Learning for Graph Anomaly Detection
- Estimating the Event-Related Potential from Few EEG Trials