The Archive

Rule-based Visiting Circulation model for trip destination prediction in unseen metropolitan areas using behavioral patterns.

Method to detect CSAM-generating LoRAs from weight fingerprints (singular vectors) without generating outputs, enabling safer moderation.

Concept bottleneck model for echocardiography shows loss invariance determines learned concepts; validates volume grounding without residual paths.

Analysis of how image quality degradation (noise, darkness) affects neural network robustness in autonomous driving perception systems.

Since launching last year, the startup today has more than 8 million people using the open-source or hosted version of its models, and now generates annual recurring revenue of $21 million.

Multi-UAV cooperative control framework combining shared voxel-map occupancy model with multi-agent Soft Actor-Critic decentralized policy.

LLM-generated sustainability-framed recommendation explanations as behavioral nudges; tests how different framings influence user choice.

Dynamic Constraint Learning framework learns local surrogates for constrained optimization when constraint functions are unknown.

HYSET evaluates tool sets jointly for LLM agents via hyperedge prediction, improving on sequential tool retrieval.

First federated learning study on SpeechLLM-based end-to-end ASR with communication-efficient optimization for distributed training.

Google DeepMind releases Gemini Robotics 2, extending multimodal foundation model capabilities to whole-body robot control and coordination.

Recursive’s $400 million outlay represents the bulk of the company’s fundraising to date.

Deep learning models reconstruct urban air pollution fields from sparse monitoring stations in Paris.

Google Search AI Mode assists with offline activities like concert ticketing and event planning.

Google Search AI features generate menu and tablescape suggestions for dinner party planning.

Cognivia LLM-based copilot for Cognitive Behavioral Therapy with domain-specific cognitive distortion annotations.

Rashomon Alignment measures functional model similarity geometrically across input space, beyond data-distribution-dependent metrics.

DynaBridge multimodal framework fuses acoustic, visual, textual data with LLM-generated summaries for DASS mental health assessment.

DecoEvo decouples scoring to co-evolve LLM solver and rubric generator in text space, addressing evaluation bottlenecks.

Controlled study compares LLM (ChatGPT-4o, Gemini) vs. human literature review performance across physics, astrophysics, cosmology.

OmniDelta allocates token budgets by skill across modalities in OmniLLMs, compressing audio-video sequences for inference efficiency.

Physics-informed neural operator for thermal ranking of low-cost wall materials in hot-dry climates using finite difference methods.

MyMentorLLM: multimodal LLM simulation environment for psychotherapy training with voice/text patients, trainees, and expert supervisors.

Contextual Deconvolution method for demand forecasting in retail using kernel-modulated operators to separate promotional shocks from baseline trends.

Controlled benchmark analyzing how LoRA adaptation site affects learning geometry across lexical, factual, causal, and procedural objectives in Transformers.

CoRT: token-level credit weighting for rubric-guided policy optimization in language models, enabling fine-grained attribution across generated spans.

OrchBench: simulation-based benchmark for evaluating multi-agent orchestration plans in isolation without conflating with worker/tool/environmental noise.

Analysis of outcome skew in Stockfish-evaluated equal chess positions vs. human play on Lichess, showing position-specific bias independent of ratings.

Policy analysis: general-purpose AI governance frameworks for public services risk failure due to GPAI properties (generality, accessibility, low cost) undermining safety preconditions.

KQFuzz: LLM-based knowledge-guided fuzzer for quantum libraries using codebase context to improve test generation efficiency and flexibility.