Entities · Models
GPT
34 articles tagged with this entity.
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Towards Understanding Steering Strength
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Does AI Understand Imaging? A Systematic Benchmark of Agentic AI for Computational Imaging Tasks
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LLM-Assisted Semantic Alignment and Integration in Collaborative Model-Based Systems Engineering Using SysML v2
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Steal the Patch Size: Adversarially Manipulate Vision-Language Models
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Self-Evolving Agents with Anytime-Valid Certificates
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Do We Still Need Fine Tuning? Turkish Sentiment Analysis in the Era of Large Language Model
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Causal Connections: Leveraging Multilingual Fine-Tuning for Financial QA@FinCausal 2026
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From Trainee to Trainer: LLM-Designed Training Environment for RL with Multi-Agent Reasoning
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RubricsTree: Scalable and Evolving Open-Ended Evaluation of Personal Health Agents across Health Memory and Medical Skills
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How Much Can We Trust LLM Search Agents? Measuring Endorsement Vulnerability to Web Content Manipulation
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SPARK: Security Knowledge Priming and Representation-Guided Knowledge Activation for LLM-based Secure Code Generation
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From Shield to Target: Denial-of-Service Attacks on LLM-Based Agent Guardrails
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LLM-Based Code Documentation Generation and Multi-Judge Evaluation
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Rosetta Memory: Adaptive Memory for Cross-LLM Agents
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The Injection Paradox: Brand-Level Suppression in Safety-Trained LLM Recommendations via RAG Context Injection
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Impacts of Histories and Models on LLM Grading: A Study in Advanced Software Engineering Courses
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DragOn: A Benchmark and Dataset for Drag-Based GUI Interactions
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Assessing the Geographic Diversity of AI's Platial Representations in Image Generation
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LLMs for Cardiovascular Risk Prediction from Structured Clinical Data
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The Ghost Couple: Correlated LLM Name Priors and Their Haunting of the Web and Academic Publishing
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Why Specialist Models Still Matter: A Heterogeneous Multi-Agent Paradigm for Medical Artificial Intelligence
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PrecisionCUA: Iterative Visual Refinement for Pixel-Precise Cursor Grounding in Code Editors
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Periodic RoPE for Infinite Context LLMs
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From AR to Diffusion: Efficiently Adapting Large Language Models with Strictly Causal and Elastic Horizons
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CiteCheck: Retrieval-Grounded Detection of LLM Citation Hallucinations in Scientific Text
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AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation
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UniToolCall: Unifying Tool-Use Representation, Data, and Evaluation for LLM Agents
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Breaking the Chains of Probability: Neutrosophic Logic as a New Framework for Epistemic Uncertainty in Large Language Models
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Agent-X: Evaluating Deep Multimodal Reasoning in Vision-Centric Agentic Tasks
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Trust but Verify: Prover-Verifier Deliberation for Selective LLM Prediction
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Can AI Guess What You Know? Performance Comparison of Large Language Models for Human Domain Knowledge Estimation From Communication Logs
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Harness, Scaffold, and the AI Agent Terms Worth Getting Right
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Transformers for Learning on Noisy and Task-Level Manifolds: Approximation and Generalization Insights
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On Cost-Effective LLM-as-a-Judge Improvement Techniques