Papers
3,241 in the directory.
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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Learning with Privacy at Scale Apple Foundational Apple paper describing a system architecture for learning from user populations with l… Apple
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Learning with Volterra Neural Networks: A System Theoretic Perspective taaft Higher-order interaction components are important for signal, image, and video modeling, but explic… 2026-09-01 published
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Learning-Augmented Algorithms: Guarantees, Construction Mechanisms, and System-Level Implications taaft Learning-augmented algorithms use fallible predictions while retaining formal performance guarantee… 2026-09-04 published
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Learning-Based Reconstruction Attacks on Coordinate-Obfuscated Point Clouds taaft Volumetric video based on point cloud representations enables immersive virtual and augmented reali… 2026-09-02 published
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Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
Google Research
Chain-of-thought prompting has demonstrated remarkable performance on various natural language reas…
2022-05-21
published
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Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention taaft This work introduces an efficient method to scale Transformer-based Large Language Models (LLMs) to… 2024-04-10 published
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Legibility is Not Interpretability: Comparing Judged and Actual Importance in Chain-Of-Thought Reasoning taaft Reasoning traces from chain-of-thought models appear to offer a legible window into how a model arr… 2026-09-03 published
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LensStyle: Learning the Optical Aesthetics for Controllable Stylized Lens Effect Rendering taaft The visual aesthetics of photographs are deeply influenced by lens characteristics such as aperture… 2026-09-04 published
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Less Is Moral: A CHARMing Framework for Moral Foundations Detection in Endorsement Behaviour taaft Moral language plays a central role in shaping online endorsement and the diffusion of information,… 2026-09-03 published
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Less Is More: Balancing Positive and Negative Space in Visual Concept Blending taaft Graphic designers often blend visual concepts to communicate multiple ideas within a single image,… 2026-08-31 published
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LESS: Selecting Influential Data for Targeted Instruction Tuning taaft Instruction tuning has unlocked powerful capabilities in large language models (LLMs), effectively… 2024-02-06 published
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Let Confidence Change, Not the Prediction: Prediction-Preserving Repair for Post-hoc Calibration taaft Post-hoc calibration corrects reported confidence, yet a multiclass calibrator can also change the… 2026-09-01 published
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Let's Verify Step by Step taaft In recent years, large language models have greatly improved in their ability to perform complex mu… 2023-05-31 published
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LetOccVote: Learning Weakly Supervised 3D Occupancy through Consensus taaft Weakly supervised 3D occupancy prediction reduces the reliance on costly 3D annotations by learning… 2026-09-04 published
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LevelSyn: Physical-Aware Logic Synthesis via Level-Asynchronous Graph Neural Networks taaft As integrated circuit technology scales into the nanometer regime, the traditional disconnect betwe… 2026-09-03 published
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Leveraging a Foundation Model for the EEG-Based Diagnosis of Alzheimer's Disease taaft Biological heterogeneity in Alzheimer's Disease (AD) poses a critical diagnostic challenge, particu… 2026-08-27 published
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Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey taaft The integration of biomolecular modeling with natural language (BL) has emerged as a promising inte… 2024-03-03 published
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Leveraging Imperfect Restoration for Data Availability Attack taaft The abundance of online data is at risk of unauthorized usage in training deep learning models. To… 2026-09-04 published
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Leveraging Inter-object Affordances for Efficient Planning in Contact-rich Tasks taaft Traditional task-and-motion planning (TAMP) approaches primarily focus on defining sequences of act… 2026-08-26 published
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Leveraging LLMs and Social Media to Understand User Perception of Smartphone-Based Earthquake Early Warnings taaft Android's Earthquake Alert (AEA) system provided timely early warnings to millions during the Mw 6.… 2026-03-24 published
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Leveraging Low-Level Symbolic Competences for Unsupervised Grounding in Hallucination Detection taaft Hallucination-where a language model generates outputs that are factually incorrect or unsupported… 2026-09-04 published
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Leveraging Training Data in Few-Shot Prompting for Numerical Reasoning taaft Chain-of-thought (CoT) prompting with large language models has proven effective in numerous natura… 2023-05-29 published
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LeVLJEPA: End-to-End Vision-Language Pretraining Without Negatives taaft Vision-language pretraining remains dominated by contrastive objectives, whereas vision-only self-s… 2026-07-01 published
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LexFlip: A Dissociation Diagnostic for Legal Meaning Preservation Metrics taaft Does a simplified legal clause still say what the original said? The checks in current use cannot e… 2026-09-04 published
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LexIssue: Benchmarking Legal Issue Identification in Chinese Civil Litigation taaft Identifying the issues disputed between litigating parties is a crucial component of real-world lit… 2026-09-02 published
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Lies We Can See: Joint Verbal and Non-Verbal Deception by VLM Agents in Embodied Social Interactions taaft Strategic deception by LLM and VLM agents has emerged as a central AI alignment and safety concern.… 2026-08-31 published
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LightNav-0: Eliciting VLM Spatial Intelligence for Generalist Embodied Navigation taaft Embodied navigation requires agents to translate heterogeneous goals and visual observations into a… 2026-08-31 published
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Lightweight Adaptation of General-Purpose VLMs for Multispectral and SAR Image Understanding taaft General-purpose vision-language models (VLMs) now support strong visual recognition, instruction fo… 2026-09-02 published
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Lightweight Fairness for LLM-Based Recommendations via Kernelized Projection and Gated Adapters taaft Large Language Models (LLMs) have introduced new capabilities to recommender systems, enabling dyna… 2026-03-24 published
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Lightweight Vision Transformer Compression for On-Device Plant Disease Detection in Resource-Constrained Agricultural Field Conditions taaft Chilli (Capsicum annuum) is one of India's most economically significant crops, yet its productivit… 2026-09-04 published
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Linear Fusion MultiDiffusion for Fast Training-Free Spherical Panorama Generation taaft We propose LF-MultiDiffusion, a training-free panorama generation method that extends MultiDiffusio… 2026-09-02 published
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Linear-Nonlinear Fusion Neural Operator for Partial Differential Equations taaft Neural operator learning directly constructs the mapping relationship from the equation parameter s… 2026-03-25 published
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Linguistic Trajectory Encoding for Efficient Long-Horizon Spatial Memory in Embodied Agents taaft Embodied agents performing long-horizon tasks require a memory representation in which the state tr… 2026-09-04 published
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LION: Latent Point Diffusion Models for 3D Shape Generation taaft Denoising diffusion models (DDMs) have shown promising results in 3D point cloud synthesis. To adva… 2022-10-12 published
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Liquid Gated Attention taaft Real-world time series often exhibit irregular sampling and extended temporal horizons, requiring m… 2026-08-31 published
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Listwise Policy Optimization: Group-based RLVR as Target-Projection on the LLM Response Simplex taaft Reinforcement learning with verifiable rewards (RLVR) has become a standard approach for large lang… 2026-05-07 published