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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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  1. BeamRMX: Radiation-Pattern-Driven Learning for Generalizable Beam Radio Map Prediction and Beam Management taaft The evolution toward sixth-generation (6G) wireless networks is driving larger antenna arrays and h… 2026-09-01 published
  2. Beauty is in the AI of the beholder: MLLMs systematically overrate facial attractiveness taaft Beauty assessments from Multimodal Large Language Models (MLLMs) are increasingly popular amongst u… 2026-09-02 published
  3. Before the Script, Set the Stage: How Worldview Simulation Amplifies Psychologically Grounded Persuasion in Multi-Turn Jailbreaking taaft Multi-turn jailbreak attacks demonstrate that harmful intent can be distributed across dialogue, ye… 2026-09-02 published
  4. Behavioral Heterogeneity as Quantum-Inspired Representation taaft Driver heterogeneity is often reduced to labels or discrete regimes, compressing what is inherently… 2026-03-24 published
  5. Behaviorally Effective LoRA Writes Are Sparse and Structured taaft Low-rank adaptation fixes the rank of the update, but it does not identify which parts of a trained… 2026-09-01 published
  6. Belief-Calibrated Optimization: An Explicit World Model for Agentic Optimization taaft The performance of an LLM agent depends on the scaffold around a frozen model. A common way to impr… 2026-09-01 published
  7. Below the Noise Floor: Bimodal Seed Collapse and Distinct Failure Modes in Small-Model Knowledge Distillation taaft Function routing -- selecting the correct API call from a fixed catalog given a natural-language re… 2026-08-27 published
  8. Benchmarking Deep Learning Models for Aerial LiDAR Point Cloud Semantic Segmentation under Real Acquisition Conditions: A Case Study in Navarre taaft Recent advances in deep learning have significantly improved 3D semantic segmentation, but most mod… 2026-03-23 published
  9. Benchmarking Language Models for Statistical Problem Formulation taaft Large language models (LLMs) are increasingly used as assistants for statistical and data science w… 2026-09-02 published
  10. Benchmarking LLM Judges for Voice-Agent Evaluation: Reliability, Calibration, and Human Oversight taaft Evaluating conversational voice agents at scale re- quires reliable assessment methods that capture… 2026-08-25 published
  11. Benchmarking Peptide-Protein Affinity Prediction Across Peptide and Target Shifts taaft Peptide-protein affinity models are often evaluated with a single data split, obscuring whether the… 2026-08-31 published
  12. Benchmarking RAW and RGB Restoration in Image Signal Processors taaft Modern cameras transform RAW sensor measurements into sRGB images through an image signal processor… 2026-09-02 published
  13. Benchmarking Recurrent Event-Based Object Detection for Industrial Multi-Class Recognition on MTEvent taaft Event cameras are attractive for industrial robotics because they provide high temporal resolution,… 2026-03-23 published
  14. Benchmarking Scientific Machine Learning Models for Air Quality Data taaft Accurate air quality index (AQI) forecasting is essential for the protecting public health in rapid… 2026-03-22 published
  15. Beneath the Diff: Diagnosing and Mitigating Algorithmic Mode Collapse in Code-Level Autonomous Research Loops taaft Code-level autonomous research loops (ARLs) have recently emerged as a concrete object of study in… 2026-08-31 published
  16. Beneath the Surface of Chains-of-Thought: A Mechanistic Interpretation of Reasoning Operations in LLMs taaft Reasoning in large language models unfolds through diverse functional operations, such as problem f… 2026-09-04 published
  17. BERT on a Data Diet: Finding Important Examples by Gradient-Based Pruning taaft Current pre-trained language models rely on large datasets for achieving state-of-the-art performan… 2022-11-10 published
  18. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Google We introduce a new language representation model called BERT, which stands for Bidirectional Encode… 2018-10-11 published
  19. Best-of-Both-Worlds Multi-Dueling Bandits: Unified Algorithms for Stochastic and Adversarial Preferences under Condorcet and Borda Objectives taaft Multi-dueling bandits, where a learner selects $m \geq 2$ arms per round and observes only the winn… 2026-03-19 published
  20. Between Rules and Reality: On the Context Sensitivity of LLM Moral Judgment taaft A human's moral decision depends heavily on the context. Yet research on LLM morality has largely s… 2026-03-24 published
  21. Beyond .WAV: Design and Software Verification of VocalCap, a Traceable Browser-Based Audio Capture System for Vocal Biomarker Research taaft Remote voice studies often retain a final audio file with limited evidence about how it was capture… 2026-09-03 published
  22. Beyond Accuracy: A Dual-Judge Evaluation Protocol for Vision-Language Models in Legally Grounded Tasks taaft AI systems are increasingly evaluated for legally accountable settings, where correct outputs must… 2026-08-25 published
  23. Beyond Aggregate Scores: Behavioral Correctness Assumptions for Assessing Reference-Based Automatic Evaluation Methods taaft Automated reference-based evaluation methods play a critical role in assessing natural language gen… 2026-09-04 published
  24. Beyond Binary Correctness: Scaling Evaluation of Long-Horizon Agents on Subjective Enterprise Tasks taaft Large language models excel on objectively verifiable tasks such as math and programming, where eva… 2026-03-24 published
  25. Beyond BLEU: A Case for Redefining Sign Language Translation Benchmarks taaft BLEU-4 is the standard metric for evaluating sign language translation (SLT), but spoken-language m… 2026-09-03 published
  26. Beyond Blur: A Semantic Tri-view Pipeline for Teledermatology Gradability via Skin Micro-relief taaft Smartphone skin photographs are indispensable to teledermatology, yet assessing the diagnostic suit… 2026-09-02 published
  27. Beyond Co-purchase Relation: Evolution of Complementary Recommendations at Allegro taaft When a customer adds a professional camera to their cart, should the system suggest a matching lens… 2026-09-04 published
  28. Beyond Code Generation: Reliability, Verification, and Cost Economics in the Agentic Software Development Lifecycle taaft AI coding systems are moving from autocomplete and chat toward agents that can inspect repositories… 2026-09-04 published
  29. Beyond Code Snippets: Benchmarking LLMs on Repository-Level Question Answering taaft Large Language Models (LLMs) have shown impressive capabilities across software engineering tasks,… 2026-03-27 published
  30. Beyond Context Windows: Persistent Discovery Context for Data-Centric Agents taaft Data-centric agents repeatedly perform a discovery step before planning or execution: identifying t… 2026-09-02 published
  31. Beyond Data Scaling: Representation-Centric Continued Pre-training for Vision-Language-Action Models taaft Scaling robot data is crucial for building generalist Vision-Language-Action (VLA) models, yet robo… 2026-08-27 published
  32. Beyond F1: Evaluating Coverage and Failure Recovery in AI Model Security Scanners taaft Static scanners are increasingly used to identify executable or otherwise unsafe content in machine… 2026-08-27 published
  33. Beyond Flat Netlist: Hierarchical Graph Representation Learning for Scalable Analysis of Sequential Circuits taaft Circuit Representation Learning (CRL) offers a powerful paradigm to guide and optimize core Electro… 2026-08-28 published
  34. Beyond Global Realism: Virtual Try-On Evaluation and Optimization with Dimension-wise Garment Fidelity Assessment taaft Virtual try-on (VTON) requires not only realistic generation but also faithful preservation of garm… 2026-08-30 published
  35. Beyond Global Scalars: Synergizing Token-Level Statistics and Deep Semantics for Adversarial AIGC Text Detection taaft The rapid evolution of large language models necessitates robust machine-generated text detection.… 2026-08-28 published
  36. Beyond Homoscedasticity: Decoupled Uncertainty Optimization for Deep Imbalanced Regression taaft Deep Imbalanced Regression (DIR) is pervasive in continuous prediction tasks across diverse modalit… 2026-09-04 published