The Archive

Information geometry framework analyzes how missingness patterns in labels affect efficiency of multiclass classifiers.

AdaPath retrieves query-adaptive meta-paths from biomedical knowledge graphs to enable multi-hop reasoning for LLM QA.

Hierarchical semantic alignment framework for personalized generative retrieval using dynamic query-item mapping and efficient decoding.

Schema-aware multimodal synthesis system for sewing pattern generation from sketches and text descriptions.

Auditable LLM-based computational framework for qualitative thematic analysis with privacy preservation and methodological transparency.

Analysis of pixel-based language model adaptation to low-resource Tibetan using visual script similarity and cross-lingual Brahmic transfer.

Public hyperspectral-XRF dataset of 1,132 rock specimens for mineral identification and elemental composition estimation.

Discrete diffusion language model framework for targeted PDE solver code repair via localized re-masking and infilling.

Interactive mobile "gizmos" are easy to make, hard to share outside Meta's platform.

VLM-browser integration framework enabling deterministic world-model feedback for autonomous self-improving web code generation.

Meta settlement highlights structural challenges in content regulation frameworks for large tech platforms.

Progress-augmented curriculum learning method for multi-task RL post-training of LLMs balancing task update magnitude with reward gains.

GNN-based beamforming design for mmWave cell-free massive MIMO systems using sub-6 GHz channel state information.

Learning-based congestion-aware route scheduling for semiconductor fab material handling using transport-network-aware dynamic representation.

ScienceArena: olympiad-style benchmark from IPhO, IChO, IBO, USAPhO, USNCO 2025–2026 with process-credit rubrics to address contamination and saturation in frontier LLM evaluation.

TSExplorer: cross-platform annotation tool for time-series data with interactive 2D visualizations and exploratory workflows.

Trajectory-Initialized Neural Double Q-Routing for overhead hoist transport systems in semiconductor fabs using adaptive routing under resource contention.

Lot Machine: multimodal pipeline to extract structured metadata from historical German auction catalogs for provenance research.

UtilMem: benchmark with 1,717 instances measuring evidence integration across long-term conversational memory, not pointwise recall.

Survey on tensor decomposition methods for LLMs covering tokenization, embeddings, pre-training, adaptation, inference, compression, and interpretability.

Anytime-valid statistical monitoring using conformal martingales for deployed ML systems; examines exchangeability assumptions in real forecast streams.

CM2: multi-agent MLLM framework integrating perception, RAG, networked reasoning, and gated fusion for multimodal cultural reasoning tasks.

Topo² framework: persistent-homology measurement separating memorization from generalization as causally independent geometric channels in noisy-label learning.

Computational analysis of sexism in Hansard 1803–2005: LLM classification of gender perspectives and ambivalent sexism patterns across 6,531 parliamentary speeches.

VisER detects object hallucination in vision-language models by distinguishing visual evidence from text-prefix bias using training-free internal signals.

Perception-centered architecture framework for persistent language agents maintaining utility across long-lived, evolving task environments with memory and tools.

ImageEval 2026 shared task benchmarks Arabic multimodal capabilities: spoken VQA, hallucination detection, and culturally-grounded text-to-image generation.

ToxLens applies graph learning to molecular toxicity prediction with leakage-aware splitting and calibrated uncertainty across 11 toxicity endpoints.

Hi-Q hierarchically refines queries for multi-hop QA by detecting when evidence supports a claim versus when further query refinement is needed.

CHASE simulation studies ecosystem homogenization when content creators optimize for LLM ranking signals, showing rank-citation correlation in generated responses.