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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An In-Depth Study of Filter-Agnostic Vector Search on a PostgreSQL Database System: [Experiments and Analysis] taaft Filtered Vector Search (FVS) is critical for supporting semantic search and GenAI applications in m… 2026-03-24 published
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An Object Web Seminar: A Retrospective on a Technical Dialogue Still Reverberating taaft Technology change happens quickly such that new trends tend to crowd out the focus on what was new… 2026-03-27 published
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An Unforgeable Publicly Verifiable Watermark for Large Language Models taaft Recently, text watermarking algorithms for large language models (LLMs) have been proposed to mitig… 2023-07-30 published
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Analog-DB: An Agent-First Analog Integrated Circuit Database, From Blocks to Systems taaft Sharing analog integrated circuit designs remains difficult: foundry non-disclosure agreements rest… 2026-09-01 published
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Analysis of Prompt Engineering for Drug Toxicity Prediction taaft Clinical trials in the UK can cost up to £1.3 million, with approximately 90% drug failure rate. To… 2026-09-03 published
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Analysis of the Reasoning with Redundant Information Provided Ability of Large Language Models taaft Recent advancements in Large Language Models (LLMs) have demonstrated impressive capabilities acros… 2023-10-06 published
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Analyzing Leakage of Personally Identifiable Information in Language Models taaft Language Models (LMs) have been shown to leak information about training data through sentence-leve… 2023-02-01 published
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Anatomical Prior-Driven Framework for Autonomous Robotic Cardiac Ultrasound Standard View Acquisition taaft Cardiac ultrasound diagnosis is critical for cardiovascular disease assessment, but acquiring stand… 2026-03-22 published
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Anatomical Token Uncertainty for Transformer-Guided Active MRI Acquisition taaft Full data acquisition in MRI is inherently slow, which limits clinical throughput and increases pat… 2026-03-23 published
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Anchoring Bias in LLM-as-a-Judge Systems: Prior Scores Compromise Evaluation Independence taaft Large language models (LLMs) increasingly assess generated content, giving rise to the LLM-as-a-Jud… 2026-08-26 published
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Ancient-Bench: A Comprehensive Multi-millennial, Multi-medium, and Multi-script Benchmark for Ancient Chinese Artifact Text Recognition taaft Ancient Chinese artifact text recognition is fundamental to heritage digitization, and benchmarks f… 2026-08-27 published
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AndroTMem: From Interaction Trajectories to Anchored Memory in Long-Horizon GUI Agents taaft Long-horizon GUI agents are a key step toward real-world deployment, yet effective interaction memo… 2026-03-19 published
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AngelFingerprint: A Traceable, Explainable, and White-Box Stealthy Watermark for Text-Guided Image Editing taaft Text-guided diffusion editing raises disinformation concerns, making reliable image provenance esse… 2026-09-04 published
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Animatable Neural Radiance Fields from Monocular RGB Videos taaft We present animatable neural radiance fields (animatable NeRF) for detailed human avatar creation f… 2021-06-25 published
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AnimateAnything: Fine-Grained Open Domain Image Animation with Motion Guidance taaft Image animation is a key task in computer vision which aims to generate dynamic visual content from… 2023-11-21 published
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Antipatterns in AI-assisted Qualitative Data Analysis: A Catalog of Temptations and Pitfalls for Software Engineering Researchers taaft AI-assisted qualitative data analysis (QDA) offers unprecedented opportunities to streamline softwa… 2026-08-28 published
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ANTShapes Benchmarking Datasets for Event-Based Neuromorphic Object Classification taaft Object classification in event-based computer vision is a task that is attracting considerable rese… 2026-08-27 published
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APEx: Distillation of Agent Procedural Experience for Adaptive Deep Research Question Answering taaft Deep research agents augment large language models with external tools to answer complex, long-hori… 2026-09-02 published
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Application-Agnostic Language Modeling for On-Device ASR Apple On-device automatic speech recognition systems face several challenges compared to server-based sys… 2023-05-16 published
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APreQEL: Adaptive Mixed Precision Quantization For Edge LLMs taaft Today, large language models have demonstrated their strengths in various tasks ranging from reason… 2026-03-24 published
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APT: Anchor-aligned Perturbations for Tamper Localization in Fully Regenerated Images taaft Proactive tamper localization embeds an imperceptible signal into an image prior to distribution, e… 2026-08-31 published
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AQLoRA: A Zero-Search Recipe for Fast Quantized LoRA Fine-Tuning taaft Quantized fine-tuning (QLoRA) saves memory but not time. It dequantizes every 4-bit weight on the f… 2026-08-24 published
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AQuA: Recursively Self-Improving Quantitative Trading Research Agents taaft We study recursive self-improvement at the level of quantitative-investment research: whether an au… 2026-08-13 published
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Ara-Best-RQ: Multi Dialectal Arabic SSL taaft We present Ara-BEST-RQ, a family of self-supervised learning (SSL) models specifically designed for… 2026-03-23 published
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ARAGOG: Advanced RAG Output Grading taaft Retrieval-Augmented Generation (RAG) is essential for integrating external knowledge into Large Lan… 2024-04-01 published
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ARC-Loc: Leveraging Azimuthal Ray Convergence as a Geometric Cue for Direct Cross-View Localization taaft Cross-view localization (CVL) estimates the pose of a ground image by matching it to a geo-referenc… 2026-09-04 published
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Architecting Conversational Data Systems for Stateless LLM APIs: The Hydration Proxy Pattern taaft As enterprise platforms transition to conversational reasoning interfaces, the stateless nature of… 2026-09-01 published
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ARCOS: Zero-shot Boundary Localization for Corneal Layer Segmentation Across Optical Coherence Tomography Devices taaft Accurate segmentation of corneal layers in optical coherence tomography (OCT) is essential for quan… 2026-09-03 published
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ArcticSwarm: Deferring Early Consensus in Long-Horizon Multi-Agent Research taaft Multi-agent systems have shown strong performance in domains with reliable verifiers such as coding… 2026-09-01 published
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Are LLMs Good For Quantum Software, Architecture, and System Design? taaft Quantum computers promise massive computational speedup for problems in many critical domains, such… 2026-03-27 published
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Are LLMs Overkill for Databases?: A Study on the Finiteness of SQL taaft Translating natural language to SQL for data retrieval has become more accessible thanks to code ge… 2026-03-26 published
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Are Near-Tied LLM Rankings Robust to Family-DIF-Guided Benchmark Recomposition? taaft Small leaderboard gaps are often interpreted as evidence that one language model is better than ano… 2026-08-31 published
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Are These Modules Worth Their Cost? A Paradigm-Level Accuracy-Cost Analysis of In-context Learning Text-to-SQL taaft Recent advances in in-context learning (ICL) text-to-SQL have substantially improved execution accu… 2026-08-28 published
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Are We There Yet? Assessing Computer-Use Agents for Blind Users' Accessible Interaction with Desktop Applications taaft Computer-use agents are emerging as a paradigm for agentic human-AI interaction, combining language… 2026-09-01 published
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Argument-Aware Semantic Alignment of Normative Texts: A Toulmin-Based Neuro-Symbolic Approach taaft Semantic alignment between specialized normative texts is challenging when equivalent requirements… 2026-08-30 published
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Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning taaft Long-horizon reasoning requires an agentic runtime that can persist when evidence supports its curr… 2026-08-05 published