arXiv
Grad Detect: Gradient-Based Hallucination Detection in LLMs
Large Language Models (LLMs) have demonstrated remarkable capabilities across diverse tasks, yet they remain prone to...
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arXiv
EG-VQA: Benchmarking Verifiable Video Question Answering with Grounded Temporal Evidence
Recent advances in Video Large Language Models (Video-LLMs) have yielded promising performance on video question answ...
arXiv
OrbitForge: Text-to-3D Scene Generation via Reconstruction-Anchored Video Synthesis
Generic text-to-video models can be used as rich open-world scene priors. Despite the high quality of today's generat...
arXiv
Large-Language-Model Discovery of Quantum LDPC Codes through Structured Concept Evolution
Quantum computers could outperform classical machines on important problems, but only if the errors that pervade quan...
arXiv
Solving Inverse Problems of Chaotic Systems with Bidirectional Conditional Flow Matching
Modeling chaotic systems is crucial yet challenging. Inverse problems in chaotic dynamics, namely inferring initial c...
arXiv
Difference-Making without Making a Difference
Over a series of seven papers, Andreas & Günther have introduced seven definitions of actual causation and have class...
arXiv
Accuracy and Satisfaction in Multi-Turn LLM Dialogues for NFR Assessment
LLM-based dialogue assistants have become mainstream tools for software developers, yet current evaluation benchmarks...
arXiv
Grading the Grader: Lessons from Evaluating an Agentic Data Analysis System
Agentic data analysis systems produce rich outputs, including code, numerical results, and verbal diagnostics. This m...
arXiv
Matching Tasks to Objectives: Fine-Tuning and Prompt-Tuning Strategies for Encoder-Decoder Pre-trained Language Models
Prompt-based learning has emerged as a dominant paradigm in natural language processing. This study explores the impa...
arXiv
World Models in Pieces: Structural Certification for General Agents
In the big-world regime, agents cannot be universally capable and their ability is inevitably specialized across a wo...
arXiv
IV-CoT: Implicit Visual Chain-of-Thought for Structure-Aware Text-to-Image Generation
Unified multi-modal large language models (MLLMs) have achieved strong text-to-image generation quality, but still st...
arXiv
It's Complicated: On the Design and Evaluation of AI-Powered AAC Interfaces
Artificial intelligence (AI) can enhance what people who use augmentative and alternative communication (AAC) are abl...