Papers
-
What Really Controls Temporal Reasoning in Large Language Models: Tokenisation or Representation of Time?
-
Behavioral Fingerprints for LLM Endpoint Stability and Identity
-
Towards Verifiable AI with Lightweight Cryptographic Proofs of Inference
-
Rethinking MLLM Itself as a Segmenter with a Single Segmentation Token
-
SEM: Sparse Embedding Modulation for Post-Hoc Debiasing of Vision-Language Models
-
Beyond Weighted Summation: Learnable Nonlinear Aggregation Functions for Robust Artificial Neurons
-
FUMO: Prior-Modulated Diffusion for Single Image Reflection Removal
-
TerraScope: Pixel-Grounded Visual Reasoning for Earth Observation
-
When Differential Privacy Meets Wireless Federated Learning: An Improved Analysis for Privacy and Convergence
-
Fast and Interpretable Autoregressive Estimation with Neural Network Backpropagation
-
Man and machine: artificial intelligence and judicial decision making
-
MoRI: Learning Motivation-Grounded Reasoning for Scientific Ideation in Large Language Models
-
Measuring 3D Spatial Geometric Consistency in Dynamic Generated Videos
-
SwiftTailor: Efficient 3D Garment Generation with Geometry Image Representation
-
Em-Garde: A Propose-Match Framework for Proactive Streaming Video Understanding
-
SignAgent: Agentic LLMs for Linguistically-Grounded Sign Language Annotation and Dataset Curation
-
Hardness of High-Dimensional Linear Classification
-
Reason-to-Transmit: Deliberative Adaptive Communication for Cooperative Perception
-
Parallelograms Strike Back: LLMs Generate Better Analogies than People
-
Communication-Efficient and Robust Multi-Modal Federated Learning via Latent-Space Consensus
-
CAMO: A Conditional Neural Solver for the Multi-objective Multiple Traveling Salesman Problem
-
DROID-SLAM in the Wild
-
Multi-Modal Building Change Detection for Large-Scale Small Changes: Benchmark and Baseline
-
A Dataset and Resources for Identifying Patient Health Literacy Information from Clinical Notes
-
Serendipity by Design: Evaluating the Impact of Cross-domain Mappings on Human and LLM Creativity
-
Position: Spectral GNNs Are Neither Spectral Nor Superior for Node Classification
-
SAVeS: Steering Safety Judgments in Vision-Language Models via Semantic Cues
-
DaPT: A Dual-Path Framework for Multilingual Multi-hop Question Answering
-
TAU-R1: Visual Language Model for Traffic Anomaly Understanding
-
LuMamba: Latent Unified Mamba for Electrode Topology-Invariant and Efficient EEG Modeling
-
FedTrident: Resilient Road Condition Classification Against Poisoning Attacks in Federated Learning
-
How Uncertainty Estimation Scales with Sampling in Reasoning Models
-
CustomTex: High-fidelity Indoor Scene Texturing via Multi-Reference Customization
-
Revisiting Autoregressive Models for Generative Image Classification
-
Exploring the Agentic Frontier of Verilog Code Generation
-
On Optimizing Multimodal Jailbreaks for Spoken Language Models
-
From Inference Efficiency to Embodied Efficiency: Revisiting Efficiency Metrics for Vision-Language-Action Models
-
Adaptive Regime-Aware Stock Price Prediction Using Autoencoder-Gated Dual Node Transformers with Reinforcement Learning Control
-
GSMem: 3D Gaussian Splatting as Persistent Spatial Memory for Zero-Shot Embodied Exploration and Reasoning
-
Implicit Patterns in LLM-Based Binary Analysis
-
Hierarchical Latent Structure Learning through Online Inference
-
SHAPCA: Consistent and Interpretable Explanations for Machine Learning Models on Spectroscopy Data
-
Anatomical Heterogeneity in Transformer Language Models
-
UGID: Unified Graph Isomorphism for Debiasing Large Language Models
-
A Mathematical Theory of Understanding
-
Enhancing Pretrained Model-based Continual Representation Learning via Guided Random Projection
-
D5P4: Partition Determinantal Point Process for Diversity in Parallel Discrete Diffusion Decoding
-
Fast and Effective Computation of Generalized Symmetric Matrix Factorization
-
Optimal Splitting of Language Models from Mixtures to Specialized Domains
-
VEPO: Variable Entropy Policy Optimization for Low-Resource Language Foundation Models
MongoDB - Build AI That Scales
