Generative AI

Will Generative AI apps remain a revenue powerhouse in 2026?

[2601.08565] Rewriting Video: Text-Driven Reauthoring of Video Footage

Abstract page for arXiv paper 2601.08565: Rewriting Video: Text-Driven Reauthoring of Video Footage

[2512.18388] Exploration vs. Fixation: Scaffolding Divergent and Convergent Thinking for Human-AI Co-Creation with Generative Models

Abstract page for arXiv paper 2512.18388: Exploration vs. Fixation: Scaffolding Divergent and Convergent Thinking for Human-AI Co-Creatio...

[2602.14464] CoCoDiff: Correspondence-Consistent Diffusion Model for Fine-grained Style Transfer

The paper presents CoCoDiff, a novel framework for fine-grained style transfer in images, emphasizing semantic correspondence and achievi...

[2602.14433] Synthetic Reader Panels: Tournament-Based Ideation with LLM Personas for Autonomous Publishing

The paper discusses a novel system for autonomous book ideation using synthetic reader panels composed of LLM personas to evaluate book c...

[2602.14381] Adapting VACE for Real-Time Autoregressive Video Diffusion

This article presents an adaptation of VACE for real-time autoregressive video generation, enhancing video control while addressing laten...

[2602.14374] Differentially Private Retrieval-Augmented Generation

The paper presents DP-KSA, a novel algorithm that integrates differential privacy into retrieval-augmented generation (RAG) systems, addr...

[2602.14270] A Rational Analysis of the Effects of Sycophantic AI

This article analyzes the impact of sycophantic AI on human belief systems, revealing how overly agreeable AI can distort reality and inf...

[2602.14237] AbracADDbra: Touch-Guided Object Addition by Decoupling Placement and Editing Subtasks

The paper presents AbracADDbra, a framework that enhances object addition in computer vision by decoupling placement and editing tasks th...

[2602.14211] SkillJect: Automating Stealthy Skill-Based Prompt Injection for Coding Agents with Trace-Driven Closed-Loop Refinement

The paper presents SkillJect, an automated framework for stealthy skill-based prompt injection in coding agents, addressing security vuln...

[2602.14189] Knowing When Not to Answer: Abstention-Aware Scientific Reasoning

The paper discusses an abstention-aware framework for scientific reasoning, emphasizing the importance of knowing when to abstain from an...

[2602.14188] GPT-5 vs Other LLMs in Long Short-Context Performance

This paper evaluates the performance of GPT-5 and other LLMs on long short-context tasks, revealing significant gaps between theoretical ...

[2602.14178] UniWeTok: An Unified Binary Tokenizer with Codebook Size $\mathit{2^{128}}$ for Unified Multimodal Large Language Model

The paper presents UniWeTok, a unified binary tokenizer with a massive codebook size of 2^128, designed to enhance multimodal large langu...

[2602.14157] When Test-Time Guidance Is Enough: Fast Image and Video Editing with Diffusion Guidance

The paper explores a novel approach to image and video editing using test-time guidance with diffusion models, achieving performance comp...

[2602.14158] A Multi-Agent Framework for Medical AI: Leveraging Fine-Tuned GPT, LLaMA, and DeepSeek R1 for Evidence-Based and Bias-Aware Clinical Query Processing

This article presents a multi-agent framework for medical AI that enhances clinical query processing by leveraging fine-tuned language mo...

[2602.13942] A Theoretical Framework for LLM Fine-tuning Using Early Stopping for Non-random Initialization

This article presents a theoretical framework for fine-tuning large language models (LLMs) using early stopping and non-random initializa...

[2602.14106] Anticipating Adversary Behavior in DevSecOps Scenarios through Large Language Models

This paper explores the integration of Large Language Models (LLMs) in anticipating adversary behavior within DevSecOps environments, pro...

[2602.14080] Empty Shelves or Lost Keys? Recall Is the Bottleneck for Parametric Factuality

The paper explores the limitations of factuality evaluations in large language models (LLMs), identifying recall as a key bottleneck in a...

[2602.14043] Beyond Static Snapshots: Dynamic Modeling and Forecasting of Group-Level Value Evolution with Large Language Models

This article presents a novel framework for dynamic modeling and forecasting of group-level value evolution using large language models (...

[2602.14041] BitDance: Scaling Autoregressive Generative Models with Binary Tokens

BitDance introduces a novel autoregressive image generator that utilizes binary tokens for enhanced efficiency and performance in generat...

[2602.13818] VAR-3D: View-aware Auto-Regressive Model for Text-to-3D Generation via a 3D Tokenizer

The VAR-3D model introduces a novel approach to text-to-3D generation, addressing challenges in discrete 3D representation and enhancing ...

[2602.13954] Eureka-Audio: Triggering Audio Intelligence in Compact Language Models

Eureka-Audio presents a compact audio language model that outperforms larger models in various audio understanding tasks, showcasing effi...

[2602.13543] LiveNewsBench: Evaluating LLM Web Search Capabilities with Freshly Curated News

The paper introduces LiveNewsBench, a benchmark for evaluating the web search capabilities of Large Language Models (LLMs) using freshly ...