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Browse AI research papers and methods. Search paper profiles, read recorded summaries and follow source links for the full research.

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Use the summary to find relevant work, then read the original paper. Compare the method, evaluation setting, baselines and limitations with your own problem. Check whether code and datasets are available; a reported benchmark result may not transfer to your use case.

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  1. Toppling the Hierarchy in Byte-level Language Modeling taaft This work examines recent byte-level models and their failure to perfectly manipulate characters. S… 2026-08-31 published
  2. TourPhysics: Bringing Physics to World Models for Exploration and Manipulation from a Single Image taaft Interactive visual world models must distinguish observation from physical intervention. Camera mot… 2026-09-04 published
  3. Toward Collective-Centric Evaluation of Preference Inference for Participatory Democracy taaft To scale up collective decision-making, participatory democracy platforms such as Polis and Remesh… 2026-09-02 published
  4. Toward domain-specific machine translation and quality estimation systems taaft Machine Translation (MT) and Quality Estimation (QE) perform well in general domains but degrade un… 2026-03-26 published
  5. Toward Explainable and Policy-Aware AI for Carbon Credit Price Prediction: A Research Framework for Emerging Carbon Markets taaft Carbon markets put a price on emissions, yet that price remains hard to forecast. Work in this area… 2026-09-01 published
  6. Toward High-Fidelity Visual Reconstruction: From EEG-Based Conditioned Generation to Joint-Modal Guided Rebuilding taaft Human visual reconstruction aims to reconstruct fine-grained visual stimuli based on subject-provid… 2026-03-20 published
  7. Toward Interpretable Privacy Guarantees in Face-Swapping Anonymization taaft Face-swapping has emerged as a promising approach to facial privacy protection, replacing a target… 2026-08-26 published
  8. Toward Physically Consistent Driving Video World Models under Challenging Trajectories taaft Video generation models have shown strong potential as world models for autonomous driving simulati… 2026-03-25 published
  9. Toward Robust LiDAR Semantic Segmentation for Real-World Deployment: Evaluation under Coarse Labels, Adverse Conditions, and Domain Shifts taaft LiDAR-based semantic segmentation is a core perception module for autonomous vehicles and mobile ro… 2026-09-02 published
  10. Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning taaft Long-horizon reasoning in recent LLMs demands that the model switch between distinct skills inside… 2026-08-05 published
  11. Towards a Foundational Ontology for Identifying and Resolving Contradictions in Dialogue-based Human-Robot Interactions taaft Existing Human-Robot Interaction (HRI) literature has focused on identifying and structuring errors… 2026-09-02 published
  12. Towards a Joint Khmer Text Recognition and Word Segmentation taaft Text recognition, or extracting electronic text from document images, has been indispensable for kn… 2026-08-31 published
  13. Towards A Unified Information Bottleneck Framework for Time Series Explanations taaft Explaining deep learning models operating on time series data is crucial in various applications th… 2026-08-26 published
  14. Towards Accurate and Efficient Document Analytics with Large Language Models taaft Unstructured data formats account for over 80% of the data currently stored, and extracting value f… 2024-05-07 published
  15. Towards AI-Assisted Clinical Trial Matching: Practical Considerations, Multicenter Evaluation, and Real-World Deployment taaft Clinical trials are essential for advancing cancer care and drug development, but many fail because… 2026-09-01 published
  16. Towards an Expressivity-Normalized Energy-Demand Comparison of ANNs and SNNs taaft Spiking neural networks (SNNs) are often regarded as energy-efficient alternatives to artificial ne… 2026-08-30 published
  17. Towards Continual Test-Time Adaptation of Vision-Language Models in Open-Vocabulary Semantic Segmentation taaft Open-vocabulary semantic segmentation (OVSS) relies on vision-language alignment to recognize arbit… 2026-08-30 published
  18. Towards Efficient Evaluation of Evolutionary Transfer Optimization: Case Studies on Task-Parameterized Applications taaft As evolutionary transfer optimization (ETO) scales to larger collections of related tasks, problem… 2026-09-04 published
  19. Towards General Text Embeddings with Multi-stage Contrastive Learning taaft We present GTE, a general-purpose text embedding model trained with multi-stage contrastive learnin… 2023-08-07 published
  20. Towards Generalizable Visually Grounded Exploration of Household Devices taaft Recent advancements in Vision-Language Models (VLMs) have demonstrated impressive capabilities in s… 2026-09-01 published
  21. Towards Large-Scale Heterogeneous Data Organization for Scientific Foundation Models: A Nuclear Fusion Case Study taaft Training effective foundation models requires massive and organized datasets, yet scientific domain… 2026-08-27 published
  22. Towards Making the Most of ChatGPT for Machine Translation taaft ChatGPT shows remarkable capabilities for machine translation (MT). Several prior studies have show… 2023-03-24 published
  23. Towards Mechanistically Understanding Why Memorized Knowledge Fails to Generalize in Large Language Model Finetuning taaft Fine-tuning LLMs to inject new knowledge faces a critical challenge: LLMs can quickly memorize new… 2026-07-09 published
  24. Towards Neuro-Symbolic Procedural Reasoning for Long-Horizon Vision-Language-Action Manipulation taaft Vision-language-action (VLA) models can execute short manipulation skills, but remain brittle in lo… 2026-09-04 published
  25. Towards Numerical TOHTN Planning with SMT-based HTN-SAT Encoding taaft While HTN planning has received significant attention in recent years, support for numerical reason… 2026-09-03 published
  26. Towards One-for-All Robustness Across a Continuum of Threat Levels taaft Adversarially robust models often overfit to a specific attack budget, necessitating multiple speci… 2026-09-02 published
  27. Towards Open-Ended Visual Recognition with Large Language Model taaft Localizing and recognizing objects in the open-ended physical world poses a long-standing challenge… 2023-11-14 published
  28. Towards reporting bias in visual-language datasets: bimodal augmentation by decoupling object-attribute association taaft Reporting bias arises when people assume that some knowledge is universally understood and hence, d… 2023-10-02 published
  29. Towards Total Recall in Industrial Anomaly Detection Amazon Being able to spot defective parts is a critical component in large-scale industrial manufacturing.… 2021-06-15 published
  30. Towards Trustworthy Autonomous Robots: An Explainable AI-Based Decision Framework taaft Autonomous robots powered by deep learning face a fundamental auditability challenge: when incident… 2026-09-02 published
  31. Towards Unified Keyframe Propagation Models taaft Many video editing tasks such as rotoscoping or object removal require the propagation of context a… 2022-05-19 published
  32. Towards unsupervised representation learning for quantum data: quantum models with inference and generation taaft With quantum sensors, simulators and networks emerging, a future of quantum technology may produce… 2026-08-31 published
  33. Towards Zero-Shot Transfer Across Embodiments For Driving VLAs taaft Vision-Language-Action models (VLAs) have shown strong potential in autonomous driving by leveragin… 2026-09-02 published
  34. ToxLens: A Reproducible Graph-Learning Framework for Leakage-Aware, Uncertainty-Calibrated Molecular Toxicity Prediction taaft Molecular toxicity prediction is increasingly used to prioritise compounds before experimental test… 2026-08-31 published
  35. Toy Models of Superposition Anthropic Explained why AI is hard to understand: models cram many more concepts into their neurons than they… Anthropic
  36. TPR-Attention for Combinatorial Generalization taaft Systematic generalization remains a significant challenge in deep learning. In particular, combinat… 2026-08-31 published