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arXiv:2602.12659v1 Announce Type: new Abstract: Vision-Language Models (VLMs) are known to inherit and amplify societal biases from their web-scale training data with Indian being particularly...
arXiv:2602.12660v1 Announce Type: new Abstract: Reward models are crucial for aligning large language models (LLMs) with human values and intentions. Existing approaches follow either Generative...
arXiv:2602.12662v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed as autonomous agents for multi-turn decision-making tasks. However, current agents typically rely on...
arXiv:2602.12663v1 Announce Type: new Abstract: Link prediction is central to unraveling social network evolution and node relationships, as well as understanding the characteristic mechanisms of...
arXiv:2602.12665v1 Announce Type: new Abstract: Logic provides a controlled testbed for evaluating LLM-based reasoners, yet standard SAT-style benchmarks often conflate surface difficulty (length, wording, clause...
arXiv:2602.12667v1 Announce Type: new Abstract: The geometric congruence problem is a fundamental building block in many computer vision and image recognition tasks. This problem considers...
arXiv:2602.12668v1 Announce Type: new Abstract: We study the space complexity of computing a sparse subgraph of a directed graph that certifies connectivity in the streaming...
arXiv:2602.12669v1 Announce Type: new Abstract: Modern key-value storage engines built on Log-Structured Merge-trees (LSM-trees), such as RocksDB and LevelDB, rely heavily on the performance of...
arXiv:2602.12674v1 Announce Type: new Abstract: Knowledge Distillation (KD) for Large Language Models (LLMs) has become increasingly important as models grow in size and complexity. While...
arXiv:2602.12675v1 Announce Type: new Abstract: Sparse-Linear Attention (SLA) combines sparse and linear attention to accelerate diffusion models and has shown strong performance in video generation....
arXiv:2602.12676v1 Announce Type: new Abstract: A critical challenge inherent to the projection method applied to the Landau-Lifshitz equation is the deficiency of rigorous theoretical justifications...
arXiv:2602.12679v1 Announce Type: new Abstract: Recent progress in image-to-video (I2V) diffusion models has significantly advanced the field of generative inbetweening, which aims to generate semantically...
arXiv:2602.12681v1 Announce Type: new Abstract: Binary code analysis plays an essential role in cybersecurity, facilitating reverse engineering to reveal the inner workings of programs in...
arXiv:2602.12683v1 Announce Type: new Abstract: We reformulate Optimal Transport Conditional Flow Matching (OT-CFM), a class of dynamical generative models, showing that it admits an exact...
arXiv:2602.12684v1 Announce Type: new Abstract: In this report, we introduce Xiaomi-Robotics-0, an advanced vision-language-action (VLA) model optimized for high performance and fast and smooth real-time...
arXiv:2602.12686v1 Announce Type: new Abstract: Navigational signs enable humans to navigate unfamiliar environments without maps. This work studies how robots can similarly exploit signs for...
arXiv:2602.12687v1 Announce Type: new Abstract: The core of knowledge distillation lies in transferring the teacher's rich 'dark knowledge'-subtle probabilistic patterns that reveal how classes are...
arXiv:2602.12689v1 Announce Type: new Abstract: Reynolds' parametricity originally equips types with proof-irrelevant binary propositional relations over the types. But such relations can also be taken...
arXiv:2602.12691v1 Announce Type: new Abstract: We study how to improve large foundation vision-language-action (VLA) systems through online reinforcement learning (RL) in real-world settings. Central to...
arXiv:2602.12693v1 Announce Type: new Abstract: Split conformal prediction provides distribution-free prediction intervals with finite-sample marginal coverage, but produces constant-width intervals that overcover in low-variance regions...
arXiv:2602.12694v1 Announce Type: new Abstract: Ultra-low-density elastomeric foams enable lightweight systems that combine high compliance with efficient energy return. In high-performance racing shoes, these foams...
arXiv:2602.12696v1 Announce Type: new Abstract: Training and evaluating vision encoders on Multi-Channel Imaging (MCI) data remains challenging as channel configurations vary across datasets, preventing fixed-channel...
arXiv:2602.12697v1 Announce Type: new Abstract: This paper presents data-driven implementations of balanced truncation and several of its generalizations that rely exclusively on transfer function samples...
arXiv:2602.12700v1 Announce Type: new Abstract: Depth control of underwater vehicles in engineering applications must simultaneously satisfy requirements for rapid tracking, low overshoot, and actuator constraints....