Prompting Robot Teams with Natural Language
Framework for prompting multi-robot teams with natural language, decomposing collaborative tasks without runtime LLM calls.
Framework for prompting multi-robot teams with natural language, decomposing collaborative tasks without runtime LLM calls.
Flow-Opt uses flow matching and differentiable optimization for scalable multi-robot trajectory planning.
Trajectory representation learning encodes route choice semantics for travel time and mobility prediction tasks.
GUI-AIMA aligns multimodal attention for precise GUI grounding in computer-use agents via coordinate-free approach.
HydroGym is a reinforcement learning benchmark platform for fluid dynamics control and modeling.
White-Box Sensitivity Auditing uses steering vectors for interpretable LLM auditing beyond black-box testing.
Anomaly detection framework for histopathology whole-slide images identifies toxicity and pathologies in preclinical screening.
Addresses statistical bias from discretizing continuous variables in causal inference functionals.
TVF presents interpretable time-varying IIR filters for real-time on-device speech enhancement in hearing aids.
Finite Difference Flow Optimization applies reinforcement learning to post-train diffusion models for improved image synthesis.
Event-Driven Video Generation improves text-to-video models by selectively updating latent regions based on event interactions.
Medical image spatial grounding framework extends vision-language models to 3D anatomical structure localization in medical imaging.
Structured SIR improves probabilistic inference for image registration using flexible posterior approximations.
T-QPM extends vision-language models for out-of-distribution detection and domain generalization under temporal distribution shifts.
Perceptual optimization strategies for 3D Gaussian Splatting including first large-scale human subjective study with 39k pairwise comparisons.
TORA: topology-first representation alignment framework for 3D shape assembly using flow-matching methods with relational structure guidance.
Analysis of prompt sensitivity in LLMs, showing shared lexical task representations explain behavioral variability between instruction and example-based prompting.
Study of embedding-based defense failures in LLM multi-agent systems, showing how malicious agents can manipulate group decisions and decisions.
Stable reversible ODE solvers for diffusion model inversion enabling improved text-guided image editing without accumulated inversion error.
ABC-DFL: automated Byzantine-resilient decentralized federated learning framework for EV battery intelligence with privacy preservation.
AssetOpsBench study showing knowledge graphs significantly improve LLM agent accuracy for industrial asset operations reasoning over structured data.
Neural network methods for sparse POD mode selection and manifold dimensionality reduction for high-dimensional data with slowly decaying singular values.
Theoretical study showing how Bellman optimality in MDPs with catastrophic states produces prospect-theory-like decision behavior without explicit loss aversion.
Framework for representing research attention as contextually structured flows to better interpret societal impact of research outputs beyond raw metrics.
ERNEST: planetary rover with active gimbal suspension controlled by a single neural network trained for autonomous terrain navigation and obstacle negotiation.
RhinoVLA: Vision-Language-Action model optimized for real-time robotic manipulation on edge hardware by reducing visual and context token overhead.
VarDeepPCA: lightweight variational DNN framework for refining out-of-distribution medical image segmentation with uncertainty estimation from small training sets.
DeXposure-Claw: agentic system using LLMs for DeFi risk supervision, routing decisions through structured evidence for regulator-aligned decision-making.
Mechanistic study of safety alignment in LLMs using Contrastive Logit Steering to isolate and understand the 'refusal direction' as a linear feature.
Analysis of hidden inference costs in quantized reasoning LLMs, showing low-bit models generate longer chains of thought despite correct answers.
Study on entity matching in data integration pipelines using domain-aware distribution alignment and low-resource learning techniques.
Research on behavioral foundation models for zero-shot transfer in RL, enabling agents to generate optimal policies for any reward function without task-specific learning.
arXiv study on consensus clustering of eye-tracking gaze data to analyze human-information interaction patterns.
Research showing that LLM-style scaling laws (loss vs. model/dataset size) apply to sensor data, with implications for AI economics and emergent capabilities.
Discussion of whether modern CPUs with vector engines and HBM can replace GPUs for HPC and AI workloads.
Local video processing system that transcribes, clips, edits, and generates captions and thumbnails from raw footage without cloud dependencies.
Sibyl is a self-hosted, scalable agent memory system built on SurrealDB enabling parallel AI coding agents to share context and coordinate work.
Headline only: LLM spam detected on Bandcamp music platform.
Claude Code users report silent deletion of conversation transcripts older than 30 days due to a non-obvious default setting.
Rigorix compiles natural language development tasks into deterministic DAGs for repeatable, auditable AI-assisted software engineering with policy constraints.
Agentic OS: proactive AI assistant for automating tasks, scheduling, and file management. Limited details provided.
Tutorial on self-hosting LLMs on NVIDIA Jetson Orin Nano for local inference without third-party APIs.
Anthropic launches Claude Science: specialized LLM workbench for scientific research. Announcement stub.
Guardians of the Agents: formal verification methods for AI workflows. Limited content.
llmaker: open-source platform for running complete LLM stack locally with models, vector DB, embeddings, retrieval, and agents. Single-command deployment.
Ovid is a tool that verifies AI coding agent features work by recording proof videos; integrates with pi agent and supports any-language projects.
OpenMontage is an open-source AI agent system that automates video production tasks including research, scripting, asset generation, editing, and composition from plain language descriptions.
Alma: local-first MCP server for AI agents to maintain persistent user context (name, preferences, values) across vendors without vendor lock-in.
RunInfra: automated model optimization and deployment. Benchmarks models, kernels, GPUs and generates deployment kits in 5 minutes.
Claude Sonnet 5 benchmarking: achieves 53 on Intelligence Index with higher cost-per-task than Opus 4.8.