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Latest Research — Page 111
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- PubSub-VFL: Towards Efficient Two-Party Split Learning in Heterogeneous Environments via Publisher/Subscriber Architecture
- Optimizing Diversity and Quality through Base-Aligned Model Collaboration
- Evaluating LLM Story Generation through Large-scale Network Analysis of Social Structures
- Don't Adapt Small Language Models for Tools; Adapt Tool Schemas to the Models
- MPJudge: Towards Perceptual Assessment of Music-Induced Paintings
- Supervised Mixture-of-Experts for Surgical Grasping and Retraction
- Real-World Evaluation of an AI Agent Drafting Translational Impact Summaries
- Proactive Hearing Assistants that Isolate Egocentric Conversations
- NURBGen: High-Fidelity Text-to-CAD Generation through LLM-Driven NURBS Modeling
- EA3D: Online Open-World 3D Object Extraction from Streaming Videos
- RealStats: A Rigorous Real-Only Statistical Framework for Fake Image Detection
- NeuroSynth: A Biologically Inspired Continual Reinforcement Learning Architecture for Mitigating Catastrophic Forgetting
- A Single Architecture for Representing Invariance Under Any Space Group
- Preference-based Conditional Treatment Effects and Policy Learning
- TRACE: Textual Reasoning for Affordance Coordinate Extraction
- How Far Ahead Do LLMs Plan? Uncovering the Latent Horizon in Chain-of-Thought Reasoning
- Distributional Equivalence in Linear Non-Gaussian Latent-Variable Cyclic Causal Models: Characterization and Learning
- Comprehensiveness Metrics for Automatic Evaluation of Factual Recall in Text Generation
- Colorful Talks with Graphs: Human-Interpretable Graph Encodings for Large Language Models
- Beyond Fertility: Analyzing STRR as a Metric for Multilingual Tokenization Evaluation
- Geometry of Decision Making in Language Models
- DeepShield: Fortifying Deepfake Video Detection with Local and Global Forgery Analysis
- Unveiling the Power of Multiple Gossip Steps: A Stability-Based Generalization Analysis in Decentralized Training
- Agentmandering: A Game-Theoretic Framework for Fair Redistricting via Large Language Model Agents
- DriveMotion: A Large-Scale Multi-Source Benchmark for Driver Motion Sequence Modeling and Forecasting
- UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics
- Geometry-Aware Decoding with Wasserstein-Regularized Truncation and Mass Penalties for Large Language Models
- Spatio-Temporal Graphs Beyond Grids: Benchmark for Maritime Anomaly Detection
- Phantom Menace: Exploring and Enhancing the Robustness of VLA Models Against Physical Sensor Attacks
- Who Gets the Reward & Who Gets the Blame? Evaluation-Aligned Training Signals for Multi-LLM Agents
- VL-RouterBench: A Benchmark for Vision-Language Model Routing
- Calibrating Uncertainty for Zero-Shot Adversarial CLIP
- Evaluating Online Moderation Via LLM-Powered Counterfactual Simulations
- SIGN: Schema-Induced Games for Naming
- Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification
- Fewer Weights, More Problems: A Practical Attack on LLM Pruning
- TSVer: A Benchmark for Fact Verification Against Time-Series Evidence
- Unveiling the Spatial-temporal Effective Receptive Fields of Spiking Neural Networks
- SENSE: Self-Supervised Neural Embeddings for Spatial Ensembles
- LOOM: Personalized Learning Informed by Daily LLM Conversations Toward Long-Term Mastery via a Dynamic Learner Memory Graph