The Archive

EvoPolicyGym benchmark for autonomous policy evolution; evaluates how agents iteratively improve executable policies under fixed budgets.

Adaptive Transformer for time series forecasting with extreme-event handling; specialized application to hydrologic streamflow prediction.

Observational study: reasoning effort, not tool access, drives first-try reliability in agentic code generation across model generations.

Geoffrey Litt argues developers must maintain deep code comprehension to effectively collaborate with AI coding agents and avoid cognitive debt.

Comparative evaluation of frontier LLMs (GPT, Claude Opus, Gemini, GLM) for automated Linux/bash exam grading using cognitive taxonomy.

WorldSample: data augmentation framework closes real-synthetic loop for robot RL via world models to reduce costly physical interactions.

Hybrid quantum-classical federated learning for multi-agent activity recognition; quantum enhancement for heterogeneous sensor fusion.

NeuFS uses neuron-level signals to identify high-value samples for few-shot LLM adaptation, reducing annotation costs in domain specialization.

LIME generates language-conditioned camera motion for autonomous robots, treating egocentric viewpoint control as a first-class action.

Bibliometric study shows NLP research authors migrating from ACL to ML venues post-LLM era, with 19.2pp decline in established author participation.

Q-GAIN Python package applies ML and physics-informed methods to cold-atom Bose-Einstein condensate image analysis.

SPG-Layout generates physically plausible indoor scenes from text in non-orthogonal environments using LLMs and statistical priors.

Object-centric LeJEPA improves self-supervised vision representation learning by partitioning scenes at object level with reduced data requirements.

ACID enforces action consistency in world-model planning via inverse dynamics to ensure intermediate trajectory realizability during embodied control.

RFM-AGOP efficiently extracts multi-dimensional refusal subspaces in LLMs for safety steering, handling long reasoning traces computationally.

WattGPU predicts GPU power draw and inter-token latency for LLM inference across unseen hardware using only public specs, enabling deployment optimization.

DecompRL teaches LLMs modular code generation via RL to solve problems with near-zero base policy success rate, scaling accuracy beyond sampling limits.

Constraint-based oversight for coding agents scales cheaper than scaffolding; access control and tooling principles from human teams transfer directly.

Agentic search system deployed for NASA Earth Observation datasets; amplifies knowledge graph latent value via LLM-driven natural-language discovery.

TGO-II framework analyzes geometric evolution of Vision Transformer representations during supervised training via representational similarity.

Source-critical reasoning framework for RAG-based fact-checking; adds media background checks to handle conflicting, outdated, or biased evidence.

Multi-agent workflow (Gemini 2.5 Flash, RigoChat-7B-v2) for Spanish Easy-to-Read translation via LangGraph with event-condition-action routing.

Hardware-enforced semantic coordination for safety-critical autonomous systems; addresses bounded latency and deterministic multi-component orchestration.

DRIFTLENS measures reasoning drift in personalized LLMs; memory injection reshapes inference trajectories on open-ended questions without ground truth.

VisionAId: offline-first Android multimodal assistant for visual impairment; six on-device deep learning models for real-time object detection and personalization.

Agent-based patching of LLVM compiler missed optimizations; agents struggle with generalization beyond single cases, compared via benchmark.

Essay connecting literary analysis (narratology, translation, critical theory) to culturally literate AI development; plural LLM interpretations.

Study shows LLM personas have frame-dependent geometric structure distinct from aggregate Big Five traits using GPT-4o on psychometric questionnaires.

Proposes bounded memory gates for quantum fast-weight programmers to prevent divergence in long-sequence modeling tasks.

Geometry-aware attention framework GAP-GDRNet for 6D spacecraft pose estimation from monocular images in rendezvous scenarios.