Three Models of RLHF Annotation: Extension, Evidence, and Authority
Three-model analysis of RLHF annotation distinguishes extension, evidence, and authority roles for human judgments shaping LLM behavior.
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Three-model analysis of RLHF annotation distinguishes extension, evidence, and authority roles for human judgments shaping LLM behavior.
Finetuning interventions can mask emergent misalignment when evaluation prompts differ from training distribution, revealing conditional misalignment.
Real-time adaptive traffic signal system using YOLOv12 detection to extend crossing time for vulnerable pedestrians.
Comparison of interpretability methods (GNNExplainer, GNNShap, GradCAM) for particle physics jet tagging models.
Theoretical analysis showing some reward errors in RL finetuning can improve policy gradient optimization beyond ground truth alignment.
Hey r/MachineLearning, Visualizing the loss landscape of a neural network is notoriously tricky since we can't naturally comprehend million-dimensional spaces. We often rely on basic 2D contour analogies, which don't always capture the true geometry of the space or the…
Sparse autoencoders reveal three-phase information flow in LLM emotion recognition with both shared and emotion-specific features.
Sam Altman and Matt Garman discuss OpenAI-AWS partnership on Bedrock Managed Agents; Stratechery covers OpenAI-Microsoft deal implications.
RESTestBench benchmark for evaluating LLM-generated REST API test cases from natural language requirements with precise/vague variants.
Zero-shot machine-generated text detector exploiting autoregressive fragility through perplexity-based text shuffling.
Systematic empirical study of in-context learning scaling behavior on Gaussian-mixture classification, extending prior linear theory.
SIEVES enables selective prediction on multimodal models via visual evidence scoring to balance coverage and reliability on OOD tasks.
G-Loss incorporates graph-guided label propagation into LM finetuning to capture global semantic structure beyond local neighborhoods.
Framework automates engineering of coding-agent harnesses via observability-driven evolution, addressing multi-token trajectory attribution and sparse evaluation signals.
ADEMA architecture enables long-horizon LLM-agent tasks via explicit knowledge-state bookkeeping, dual-evaluator governance, and checkpoint-resumable persistence.
Semi-Markov RL formulation for city-scale EV fleet dispatch with feasibility-guaranteed mixed discrete-continuous actions under spatially correlated demand.
Agora-Opt combines decentralized multi-agent debate with memory-augmented LLMs for automated optimization modeling from natural-language requirements.
LLM-based agentic workflow automates security-alert triage via tool-constrained SQL and text search over logs, reducing manual correlation overhead.
Claude’s new Blender connector lets you debug scenes, build new tools, and batch-apply object changes directly from the chatbot interface. | Image: Anthropic Anthropic has launched a set of connectors for Claude that allow the AI chatbot to tap into popular creative software…
Mistral teases unspecified announcement (model or tool) for tomorrow; source is social media rumor.
PSI-Bench provides clinically grounded, interpretable evaluation of depression patient simulators with diversity metrics beyond LLM-judge assessment.
Temporal generative model captures action timing as indicator of user intent in short-video recommendation systems.
TrialCalibre automates BenchExCal framework for RCT calibration of observational trials, reducing resource intensity of real-world evidence validation.
MAIC-UI zero-code authoring system generates interactive STEM courseware from PDFs/PPTs with rapid iteration and pedagogical accuracy mechanisms.
NVIDIA releases Nemotron-3-Nano-Omni-30B, a 30B multimodal model supporting audio, image, video, and text inputs with reasoning capabilities.
Analysis shows Transformers with CoT cannot length-generalize beyond TC^0 under standard positional encodings, limiting expressivity gains claimed by theory.
ULP FPGA-based CNN accelerator for real-time cardiac feature extraction on resource-constrained wearable sensors for space health monitoring.
The app allows developers to vibe code web apps and websites on the go.
StratFormer: transformer-based meta-agent for opponent modeling and exploitation in imperfect-information games via curriculum learning.
Black-box few-shot knowledge distillation with improved synthetic image diversity for student network training.