Inference-Time-Compute: More Faithful? A Research Note This research evaluates the faithfulness of Inference-Time-Compute (ITC) models, comparing their ability to articulate cues influencing their answers with non-ITC models. Problem: Faithfulness in Chains of Thought (CoTs) is
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Tarsier2: Advanced Video Understanding with Large Vision-Language Models
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Tarsier2: Advancing Large Vision-Language Models from Detailed Description to Comprehensive Understanding Tarsier2 is a state-of-the-art large vision-language model (LVLM) that excels in video description and understanding, improved by scaling pre-training data,
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Do Generative Video Models Learn Physical Principles
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Do generative video models learn physical principles from watching videos? This paper explores whether generative video models learn physical principles by analyzing their performance on the Physics-IQ benchmark, which tests understanding of laws like fluid dynamics, optics, and
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LLaVA-ST: Multimodal LLM for Spatial-Temporal Video Understanding
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LLaVA-ST: A Multimodal Large Language Model for Fine-Grained Spatial-Temporal Understanding LLaVA-ST is a multimodal large language model designed for spatial-temporal understanding in videos, addressing challenges in coordinate alignment and feature compression. Problem:
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Diffusion Model for Portrait Animation: Joint Depth and Appearance Learning
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Joint Learning of Depth and Appearance for Portrait Image Animation This research presents a diffusion-based generative model for joint learning of depth and appearance in portrait image animation, enabling consistent visual and 3D outputs for various applications. Problem:
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WebWalker: LLM Benchmarking Framework for Web Traversal
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WebWalker: Benchmarking LLMs in Web Traversal The paper introduces WebWalkerQA, a benchmark for testing LLMs in web traversal, and WebWalker, a multi-agent framework for human-like navigation to extract layered information. Problem: RAG systems retrieve shallow content,
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GPT-4o Advances Face Presentation Attack Detection Few-Shot Learning
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Exploring ChatGPT for Face Presentation Attack Detection in Zero and Few-Shot in-Context Learning The paper investigates GPT-4o for Face Presentation Attack Detection (PAD), showing strong performance in few-shot in-context learning, outperforming specialized PAD models in
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Weekly AI Breakthroughs: Detection, ChatGPT, and Web Navigation
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From uncovering physical laws in videos to animating portraits and navigating the web, this week’s AI research has brought even more breakthroughs! – Exploring ChatGPT for Face Presentation Attack Detection in Zero and Few-Shot in-Context Learning
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Discovering Research: Tools and Features for Academic Communities
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alphaXiv has introduced communities, where members can stay connected with the latest research and discussions within a specific subfield. What tools and websites do you use to discover new research? Which features on them do you find most useful? Drop your answers below
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Trending Papers: Agents, Reasoning, and System 2 LLMs
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Trending papers this week in our newly formed Agents & Reasoning Community: 1. Agents Are Not Enough w/ @chirag_shah 2. rStar-Math 3. Search-o1 w/ Xiaoxi Li 4. Towards System 2 Reasoning in LLMs w/ Violet Xiang @gandhikanishk 5. Agent Laboratory w/ @SRSchmidgall