arXiv:2608.08514v1 Announce Type: new Abstract: We independently reproduce two recent methods for making large language model (LLM) reasoning more…
Tag: AI
Nvidia’s open-weight Nemotron 3.5 Lightning prioritizes speed over maximum intelligence
Nvidia’s Nemotron 3.5 Lightning is an open-weights model with just 3.6 billion active parameters that matches OpenAI’s gpt-oss-120b on the Intelligence…
VoxZip: Semantic-Anchored Temporal KV Cache Compression for Long-Context Audio Inference
arXiv:2608.08569v1 Announce Type: new Abstract: Recent advancements in Speech Large Language Models have demonstrated remarkable capabilities in…
Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding
arXiv:2608.08512v1 Announce Type: new Abstract: Evolving documents, such as laws, tax codes, and software documentation, are amended, replaced, and…
TrustRoboReward: Preference-Ordered Isotonic Score Editing for Multi-Paradigm Robot Reward Models
arXiv:2608.08491v1 Announce Type: new Abstract: Reward models are a bottleneck for reinforcement learning in embodied AI. Long-horizon robotic…
MathShikkha: A Controlled Study of Answer-Only and Chain-of-Thought Supervision for Bangla Mathematical Reasoning in Small Language Models
arXiv:2608.08503v1 Announce Type: new Abstract: Mathematical reasoning remains challenging in low-resource languages such as Bangla. We study whether…
Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs
arXiv:2608.08506v1 Announce Type: new Abstract: Training-free low-rank compression frameworks have been gaining prominence for LLM compression given their…
Moshe Sambol, VP of Customer Solutions at Lightrun – Interview Series
Moshe Sambol, VP of Customer Solutions at Lightrun – brings more than two decades of experience spanning software engineering, architecture, cloud…
HoloAegis: Frozen Representation, Topological Inference: Minimally Parametric Safety Manifolds for Zero-Shot LLM Guardrails
arXiv:2608.08485v1 Announce Type: new Abstract: Current LLM safety guardrails face a fundamental tension: fine-tuning distorts pre-trained representations…
LLM within MCP Matters: Measuring Inefficient Resource Utilization Driven by LLMs
arXiv:2608.08467v1 Announce Type: new Abstract: The Model Context Protocol (MCP) standardizes how servers expose data and tools to Large Language Models…