All Articles
17070 articles total
MemDecay: Region-Aware KV Cache Eviction for Efficient LLM Agent Inference
MemDecay is a training-free, region-aware KV-cache eviction policy that optimizes LLM agent inference by managing token priorities based on semantic structure.
WasteAssistant: Regulation-Guided Visual Question Answering Framework for Intelligent Waste Segregation and Sustainable Managemen
WasteAssistant is a VQA framework and dataset for intelligent waste segregation based on Indian waste management regulations.
The Second Life of Sanskrit
A discussion on the modern application and revival of the Sanskrit language.
StubHub's 'marketplace for fans' is run by a mass scalper, SEC filings reveal
SEC filings reveal that StubHub's marketplace is effectively operated by a mass scalper.
Show HN: A Free RSS reader with a configurable recommendation engine
A free RSS reader featuring a configurable recommendation engine for personalized content discovery.
Learning the Brain's Dynamics as a Port-Hamiltonian System
Researchers model the human motor cortex as a port-Hamiltonian system to improve BCI decoders and neuromodulation signals.
Context by Distinct Information: An Auditable Dirichlet-Process Working Memory for Long, Redundant Context Streams
Introduces a working-memory component for LLMs that scales with distinct information rather than tokens, improving efficiency in long, redundant contexts.
Annotation-Free Furniture Codes: What They Encode, and How Far They Transfer
A study on using self-supervised tokens from object geometry to replace human-annotated labels and poses in 3D scene synthesis.
Reinforcement Learning with Verifiable Physics: Post-training LLMs with Continuous Rewards
Presents RLVP, a reinforcement learning framework that uses continuous physics rewards to post-train LLMs for multi-PDE solver code generation.
ARMOR: Stabilizing On-Policy LLM RL with Off-Policy Anchor Samples
Introduces ARMOR, a framework to stabilize on-policy LLM RL training by using off-policy anchor samples to prevent over-optimization.
Temporary Authority, Permanent Effects: Commit-Time Authorization for LLM Agents
Analyzes the security of LLM agents regarding commit-time authorization and introduces CommitGuard to block stale durable-effect attempts.
Confining Nondeterminism: AI-Driven Research Systems as DBMSs for Reliable, Non-Wasteful, Transparent, and Collaborative Research [Vision]
Proposes treating AI-driven research systems as DBMSs, where LLMs act as query compilers rather than executors to ensure reliability and transparency.
Guardian Angels: LLM Personalization for Productivity and Security
A discussion on the use of Large Language Models for personalizing productivity and enhancing security.
VINE: Taming Generative Control Policies for Reinforcement Learning
Introduces VINE, a sampling method for flow-matching policies in RL that enables stable end-to-end value-gradient optimization for robotic manipulation.
ABot-N1: Toward a General Visual Language Navigation Foundation Model
Presents ABot-N1, a Visual Language Navigation foundation model that decouples cognition from control using a slow-fast architecture to improve urban-scale navigation.
Structured Thoughts For Improved Reasoning And Context Pruning
Introduces Structured Thoughts, a framework that organizes LLM reasoning into scratch and conclusion blocks to improve performance and enable context pruning.
The evolution of AI from image interpretation toward scientific inference in nanoparticle electron microscopy
A review of AI's evolution in nanoparticle electron microscopy, moving from simple image interpretation to complex scientific inference and materials discovery.
A Stepwise Questioning Expert-Editor Multi-Agent Framework for Long-Document Summarization
Proposes a multi-agent framework using an expert-editor stepwise questioning approach to improve long-document summarization with LLMs.
SynthDocBench: Controlled Benchmark for Long-Context Visual Document Understanding
Introduces SynthDocBench, a synthetic benchmark for long-context visual document understanding to identify failure modes in frontier Vision Language Models.
Large Language Models in Misinformation Ecosystems: Misuse, Defense, and Vulnerability
Analyzes the ecosystem-level security challenges of LLMs in misinformation, introducing a role-layer framework for understanding risks and defenses.