2/19/2026
Modeling Human Behavior in a Strategic Network Game with Complex Group Dynamics
Compares methods for learning behavioral models in a strategic network game to understand human network dynamics.
2/19/2026
PLAICraft: Large-Scale Time-Aligned Vision-Speech-Action Dataset for Embodied AI
PLAICraft is a large-scale, multi-modal, time-aligned dataset of Minecraft interactions for training embodied AI agents with vision, speech, and action.
2/19/2026
VerifyBench: Benchmarking Reference-based Reward Systems for Large Language Models
VerifyBench benchmarks reference-based reward systems used in reinforcement learning training of reasoning models like o1 and DeepSeek-R1.
2/19/2026
WINA: Weight Informed Neuron Activation for Accelerating Large Language Model Inference
WINA is a training-free sparse activation method for accelerating LLM inference by selectively activating neurons based on weights.
2/19/2026
Experience-based Knowledge Correction for Robust Planning in Minecraft
XENON is an LLM-based agent that algorithmically corrects flawed knowledge through experience-based learning for long-horizon planning in Minecraft.
2/19/2026
FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency
FreqPolicy accelerates flow-based visuomotor policies for robotic manipulation using frequency consistency for real-time inference.
2/19/2026
DiffusionBlocks: Block-wise Neural Network Training via Diffusion Interpretation
DiffusionBlocks enables block-wise neural network training via diffusion interpretation to reduce memory bottlenecks in transformers.
2/19/2026
Chain of Thought in Order: Discovering Learning-Friendly Orders for Arithmetic
Studies optimal ordering of chain-of-thought reasoning steps in transformers for arithmetic and multi-step reasoning tasks.
2/19/2026
Expressive Power of Graph Transformers via Logic
Theoretical analysis of graph transformers' expressive power using logic, covering both real numbers and floating-point settings.
2/19/2026
Model-Agnostic Dynamic Feature Selection with Uncertainty Quantification
Model-agnostic dynamic feature selection method with uncertainty quantification for budget-constrained decision-making scenarios.
2/19/2026
MedReasoner: Reinforcement Learning Drives Reasoning Grounding from Clinical Thought to Pixel-Level Precision
MedReasoner uses reinforcement learning to ground clinical reasoning to pixel-level regions in medical images via multimodal LLMs.
2/19/2026
Pinet: Optimizing hard-constrained neural networks with orthogonal projection layers
Pinet introduces an output layer using orthogonal projections to enforce convex constraints in neural networks during training and inference.
2/19/2026
FairTabGen: High-Fidelity and Fair Synthetic Health Data Generation from Limited Samples
FairTabGen uses LLMs to generate high-quality synthetic tabular healthcare data with fairness constraints from limited samples.
2/19/2026
COGITAO: A Visual Reasoning Framework To Study Compositionality & Generalization
COGITAO is a benchmark framework for studying compositionality and generalization in visual reasoning tasks, inspired by ARC-AGI.
2/19/2026
Software Dependencies 2.0: An Empirical Study of Reuse and Integration of Pre-Trained Models in Open-Source Projects
Empirical study of pre-trained model reuse and integration in open-source projects, defining Software Dependencies 2.0.
2/19/2026
PolicyPad: Collaborative Prototyping of LLM Policies
PolicyPad system supporting collaborative policy design for LLMs in high-stakes domains via rapid prototyping and iteration.
2/19/2026
FeatBench: Towards More Realistic Evaluation of Feature-level Code Generation
FeatBench evaluates LLM code generation for realistic repository-level feature implementation with minimal data leakage.
2/19/2026
Predicting Training Re-evaluation Curves Enables Effective Data Curriculums for LLMs
Training re-evaluation curves diagnostic enabling better data curriculum design by characterizing batch retention across LLM training.
2/19/2026
Multilingual Routing in Mixture-of-Experts
Analysis of expert routing patterns in multilingual Mixture-of-Experts LLMs revealing language-specific dynamics across layers.
2/19/2026
StarEmbed: Benchmarking Time Series Foundation Models on Astronomical Observations of Variable Stars
StarEmbed benchmark for evaluating time series foundation models on irregular astronomical observations of variable stars.
2/19/2026
Lossless Vocabulary Reduction for Auto-Regressive Language Models
Technique for reducing LLM vocabulary size losslessly to improve auto-regressive text generation efficiency without performance loss.
2/19/2026
Uncertainty Matters in Dynamic Gaussian Splatting for Monocular 4D Reconstruction
Dynamic Gaussian Splatting method incorporating uncertainty for monocular 4D scene reconstruction under occlusion.
2/19/2026
GENESIS: A Generative Model of Episodic-Semantic Interaction
Computational model explaining interaction between semantic and episodic memory for learning and recall in cognitive science.
2/19/2026
CreativityPrism: A Holistic Evaluation Framework for Large Language Model Creativity
CreativityPrism framework for holistic, scalable evaluation of LLM creativity across diverse scenarios without heavy human involvement.
2/19/2026
Transformers can do Bayesian Clustering
Cluster-PFN uses Transformers for unsupervised Bayesian clustering with uncertainty quantification, handling missing values.
2/19/2026
Q3R: Quadratic Reweighted Rank Regularizer for Effective Low-Rank Training
Q3R regularizer enabling parameter-efficient low-rank training and pre-training for large deep learning models.
2/19/2026
Reasoning Up the Instruction Ladder for Controllable Language Models
Method for enforcing instruction hierarchy in LLMs to handle competing directives from multiple sources for reliable decision-making.
2/19/2026
Mastering Olympiad-Level Physics with Artificial Intelligence
LOCA framework enabling AI agents to solve Olympiad-level physics problems via logical chain decomposition and verification.
2/19/2026
Language-Guided Invariance Probing of Vision-Language Models
Language-Guided Invariance Probing benchmark evaluating vision-language model robustness to paraphrases and semantic changes on 40k images.
2/19/2026
Refined Bayesian Optimization for Efficient Beam Alignment in Intelligent Indoor Wireless Environments
Bayesian optimization approach for beam alignment in intelligent indoor wireless environments under mobility constraints.
2/19/2026
Mixture-of-Experts as Soft Clustering: A Dual Jacobian-PCA Spectral Geometry Perspective
Geometric analysis of Mixture-of-Experts architectures using Jacobian-PCA spectral methods to understand routing and function geometry.
2/19/2026
StableQAT: Stable Quantization-Aware Training at Ultra-Low Bitwidths
StableQAT framework for stable quantization-aware training of large models at ultra-low bitwidths for efficient deployment.
2/19/2026
Cardinality-Preserving Attention Channels for Graph Transformers in Molecular Property Prediction
Graph transformer architecture with cardinality-preserving attention for molecular property prediction in drug discovery.
2/19/2026
Do Vision-Language Models Respect Contextual Integrity in Location Disclosure?
Privacy risks of vision-language models inferring sensitive locations from photos with street-level precision.
2/19/2026
Protean Compiler: An Agile Framework to Drive Fine-grain Phase Ordering
Protean Compiler framework using machine learning to optimize compiler phase ordering, addressing long-standing optimization problem with agile fine-grain approach.
2/19/2026
Vision and Language: Novel Representations and Artificial intelligence for Driving Scene Safety Assessment and Autonomous Vehicle Planning
Vision-language models for autonomous vehicle safety assessment and planning, integrating VLM representations into perception, prediction, and planning pipelines.
2/19/2026
When Models Examine Themselves: Vocabulary-Activation Correspondence in Self-Referential Processing
Analysis of whether LLM self-referential language reflects internal computation or confabulation via Pull Methodology tracking vocabulary-activation correspondence.
2/19/2026
VIRENA: Virtual Arena for Research, Education, and Democratic Innovation
Virtual platform for controlled experimentation in social media environments to study communication and opinion formation dynamics with multiple simultaneous participants.
2/19/2026
Scaling Verification Can Be More Effective than Scaling Policy Learning for Vision-Language-Action Alignment
Vision-Language-Action models improved via test-time verification scaling to reduce intention-action gap in robot instruction following, offering alternative to policy learning scaling.
2/19/2026
Knowledge-Based Design Requirements for Generative Social Robots in Higher Education
Framework for designing generative social robots using LLMs for educational tutoring, addressing hallucinations, overreliance, and privacy risks in responsible AI deployment.
2/19/2026
Semantic Chunking and the Entropy of Natural Language
Statistical model capturing multi-scale structure of natural language relating entropy rate to semantic chunking in LLMs.
2/19/2026
Learning to Select Like Humans: Explainable Active Learning for Medical Imaging
Active learning method for medical imaging that explains selection decisions based on clinically meaningful features.
2/19/2026
Arming Data Agents with Tribal Knowledge
Framework arming NL2SQL agents with database-specific tribal knowledge to improve translation accuracy on real-world databases.
2/19/2026
Does Socialization Emerge in AI Agent Society? A Case Study of Moltbook
Case study analyzing emergence of social dynamics in AI agent societies through Moltbook's open-ended multi-agent environment.
2/19/2026
A Geometric Analysis of Small-sized Language Model Hallucinations
Geometric analysis showing hallucinations in small LLMs exhibit looser clustering than genuine responses in embedding space.
2/19/2026
Indic-TunedLens: Interpreting Multilingual Models in Indian Languages
Indic-TunedLens: interpretability framework for multilingual LLMs in Indian languages with shared affine transformations.
2/19/2026
Weight space Detection of Backdoors in LoRA Adapters
Weight-space detection method for backdoor attacks in LoRA adapters without requiring execution or knowing trigger patterns.
2/19/2026
Closing the Distribution Gap in Adversarial Training for LLMs
Method closing distribution gap in adversarial training for LLMs to improve robustness against simple in-distribution exploits.
2/19/2026
High-Fidelity Network Management for Federated AI-as-a-Service: Cross-Domain Orchestration
Cross-domain orchestration framework for managing federated AI-as-a-Service deployments with network-compute integration.
2/19/2026
AI-Paging: Lease-Based Execution Anchoring for Network-Exposed AI-as-a-Service
AI-Paging system for runtime selection and execution of AIaaS model instances via network-based intent matching.