CUEBES

Contact SLAM: An Active Tactile Exploration Policy Based on Physical Reasoning Utilized in Robotic Fine Blind Manipulation Tasks

arXiv:2512.10481v2 Announce Type: replace Abstract: Contact-rich manipulation is difficult for robots to execute and requires accurate perception of the environment. In some scenarios, vision is...

Robotics

arXiv CS Jan 28

Kinetic Mining in Context: Few-Shot Action Synthesis via Text-to-Motion Distillation

arXiv:2512.11654v2 Announce Type: replace Abstract: The acquisition cost for large, annotated motion datasets remains a critical bottleneck for skeletal-based Human Activity Recognition (HAR). Although Text-to-Motion...

Materials Science Chemistry

arXiv CS Jan 28

Safe Learning for Contact-Rich Robot Tasks: A Survey from Classical Learning-Based Methods to Safe Foundation Models

arXiv:2512.11908v2 Announce Type: replace Abstract: Contact-rich tasks pose significant challenges for robotic systems due to inherent uncertainty, complex dynamics, and the high risk of damage...

Robotics Materials Science

arXiv CS Jan 28

EEG-DLite: Dataset Distillation for Efficient Large EEG Model Training

arXiv:2512.12210v2 Announce Type: replace Abstract: Large-scale EEG foundation models have shown strong generalization across a range of downstream tasks, but their training remains resource-intensive due...

Software Biology

arXiv CS Jan 28

Sparse Concept Anchoring for Interpretable and Controllable Neural Representations

arXiv:2512.12469v2 Announce Type: replace Abstract: We introduce Sparse Concept Anchoring, a method that biases latent space to position a targeted subset of concepts while allowing...

Software Neuroscience

arXiv CS Jan 28

Cross-Level Sensor Fusion with Object Lists via Transformer for 3D Object Detection

arXiv:2512.12884v2 Announce Type: replace Abstract: In automotive sensor fusion systems, smart sensors and Vehicle-to-Everything (V2X) modules are commonly utilized. Sensor data from these systems are...

Software Biology

arXiv CS Jan 28

Modeling Collaborative Problem Solving Dynamics from Group Discourse: A Text-Mining Approach with Synergy Degree Model

arXiv:2512.13061v2 Announce Type: replace Abstract: Measuring collaborative problem solving (CPS) synergy remains challenging in learning analytics, as classical manual coding cannot capture emergent system-level dynamics....

Artificial Intelligence Genetics

arXiv CS Jan 28

neuralFOMO: Can LLMs Handle Being Second Best? Measuring Envy-Like Preferences in Multi-Agent Settings

arXiv:2512.13481v2 Announce Type: replace Abstract: Envy shapes competitiveness and cooperation in human groups, yet its role in large language model interactions remains largely unexplored. As...

Neuroscience Artificial Intelligence

arXiv CS Jan 28

ATLAS: Adaptive Topology-based Learning at Scale for Homophilic and Heterophilic Graphs

arXiv:2512.14908v3 Announce Type: replace Abstract: We present ATLAS (Adaptive Topology-based Learning at Scale for Homophilic and Heterophilic Graphs), a novel graph learning algorithm that addresses...

Artificial Intelligence Neuroscience

arXiv CS Jan 28

Reexamining Paradigms of End-to-End Data Movement

arXiv:2512.15028v3 Announce Type: replace Abstract: The pursuit of high-performance data transfer often focuses on raw network bandwidth, where international links of 100 Gbps or higher...

Technology Software

arXiv CS Jan 28

How Do Semantically Equivalent Code Transformations Impact Membership Inference on LLMs for Code?

arXiv:2512.15468v2 Announce Type: replace Abstract: The success of large language models for code relies on vast amounts of code data, including public open-source repositories, such...

Technology Software

arXiv CS Jan 28

Data Valuation for LLM Fine-Tuning: Efficient Shapley Value Approximation via Language Model Arithmetic

arXiv:2512.15765v2 Announce Type: replace Abstract: Data is a critical asset for training large language models (LLMs), alongside compute resources and skilled workers. While some training...

Software Artificial Intelligence

arXiv CS Jan 28

OLAF: Towards Robust LLM-Based Annotation Framework in Empirical Software Engineering

arXiv:2512.15979v2 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly used in empirical software engineering (ESE) to automate or assist annotation tasks such as...

Engineering Technology

arXiv CS Jan 28

Examining the Utility of Self-disclosure Types for Modeling Annotators of Social Norms

arXiv:2512.16034v2 Announce Type: replace Abstract: Recent work has explored the use of personal information in the form of persona sentences or self-disclosures to improve modeling...

arXiv CS Jan 28

Exploration vs Exploitation: Rethinking RLVR through Clipping, Entropy, and Spurious Reward

arXiv:2512.16912v3 Announce Type: replace Abstract: This paper examines the exploration-exploitation trade-off in reinforcement learning with verifiable rewards (RLVR), a framework for improving the reasoning of...

Artificial Intelligence

arXiv CS Jan 28

Turn-PPO: Turn-Level Advantage Estimation with PPO for Improved Multi-Turn RL in Agentic LLMs

arXiv:2512.17008v2 Announce Type: replace Abstract: Reinforcement learning (RL) has re-emerged as a natural approach for training interactive LLM agents in real-world environments. However, directly applying...

Artificial Intelligence Software

arXiv CS Jan 28

A Reproducible and Fair Evaluation of Partition-aware Collaborative Filtering

arXiv:2512.17015v3 Announce Type: replace Abstract: Similarity-based collaborative filtering (CF) models have long demonstrated strong offline performance and conceptual simplicity. However, their scalability is limited by...

arXiv CS Jan 28

GreedySnake: Accelerating SSD-Offloaded LLM Training with Efficient Scheduling and Optimizer Step Overlapping

arXiv:2512.17570v2 Announce Type: replace Abstract: SSD-offloaded training offers a practical and promising approach to making LLM training cost-effective. Building on gradient accumulation with micro-batches, this...

Artificial Intelligence Software

arXiv CS Jan 28

SWE-EVO: Benchmarking Coding Agents in Long-Horizon Software Evolution Scenarios

arXiv:2512.18470v4 Announce Type: replace Abstract: Existing benchmarks for AI coding agents focus on isolated, single-issue tasks such as fixing a bug or implementing a small...

Software Engineering

arXiv CS Jan 28

Sprecher Networks: A Parameter-Efficient Kolmogorov-Arnold Architecture

arXiv:2512.19367v2 Announce Type: replace Abstract: We introduce Sprecher Networks (SNs), a family of trainable architectures derived from David Sprecher's 1965 constructive form of the Kolmogorov-Arnold...

Biology Materials Science

arXiv CS Jan 28

Kolmogorov-Arnold graph neural networks for chemically informed prediction tasks on inorganic nanomaterials

arXiv:2512.19494v2 Announce Type: replace Abstract: The recent development of Kolmogorov-Arnold Networks (KANs) has found its application in the field of Graph Neural Networks (GNNs) particularly...

Materials Science Chemistry

arXiv CS Jan 28

CARE What Fails: Contrastive Anchored-REflection for Verifiable Multimodal

arXiv:2512.19554v2 Announce Type: replace Abstract: Group-relative reinforcement learning with verifiable rewards (RLVR) often wastes the most informative data it already has the failures. When all...

Software Space & Astronomy

arXiv CS Jan 28

Gaussian Variational Inference with Non-Gaussian Factors for State Estimation: A UWB Localization Case Study

arXiv:2512.19855v2 Announce Type: replace Abstract: This letter extends the exactly sparse Gaussian variational inference (ESGVI) algorithm for state estimation in two complementary directions. First, ESGVI...

Software Artificial Intelligence

arXiv CS Jan 28

SLIDE: Simultaneous Model Downloading and Inference at the Wireless Network Edge

arXiv:2512.20946v2 Announce Type: replace Abstract: To support on-device inference, the next-generation mobile networks are expected to support real-time model downloading services to mobile users. However,...

Artificial Intelligence Energy