Generative AI

Navigating Recent Developments in Generative AI and Trade Secret Protection

Two recent federal district court decisions highlight the significant risks of sharing confidential information with a generative AI plat...

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The Real Reason OpenAI Shut Sora Down Is a Warning to Every AI Startup

[2508.02515] PoeTone: A Framework for Constrained Generation of Structured Chinese Songci with LLMs

The paper presents PoeTone, a framework for generating structured Chinese Songci poetry using large language models (LLMs), evaluating th...

[2506.05688] Voice Impression Control in Zero-Shot TTS

This paper presents a novel method for controlling voice impressions in zero-shot text-to-speech (TTS) systems, utilizing a low-dimension...

[2511.04694] Reasoning Up the Instruction Ladder for Controllable Language Models

This paper explores the importance of instruction hierarchy in large language models (LLMs) for enhancing their controllability and relia...

[2510.20091] CreativityPrism: A Holistic Evaluation Framework for Large Language Model Creativity

The paper presents CreativityPrism, a comprehensive framework for evaluating the creativity of large language models (LLMs) across variou...

[2510.15828] GENESIS: A Generative Model of Episodic-Semantic Interaction

The paper introduces GENESIS, a generative model that integrates episodic and semantic memory, addressing a key challenge in cognitive ne...

[2510.08102] Lossless Vocabulary Reduction for Auto-Regressive Language Models

This paper introduces a theoretical framework for lossless vocabulary reduction in auto-regressive language models, enabling efficient co...

[2509.22237] FeatBench: Towards More Realistic Evaluation of Feature-level Code Generation

The paper introduces FeatBench, a new benchmark for evaluating feature-level code generation in Large Language Models (LLMs), addressing ...

[2602.02958] Quant VideoGen: Auto-Regressive Long Video Generation via 2-Bit KV-Cache Quantization

The paper presents Quant VideoGen, a framework for autoregressive long video generation that addresses the limitations of KV cache memory...

[2509.19680] PolicyPad: Collaborative Prototyping of LLM Policies

The article presents PolicyPad, an interactive system designed for collaborative prototyping of policies governing large language models ...

[2602.00191] GEPC: Group-Equivariant Posterior Consistency for Out-of-Distribution Detection in Diffusion Models

The paper introduces Group-Equivariant Posterior Consistency (GEPC), a method for detecting out-of-distribution data in diffusion models ...

[2512.18454] Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs

This paper presents a novel framework for out-of-distribution (OOD) detection in molecular complexes using diffusion models tailored for ...

[2506.08822] FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency

The paper presents FreqPolicy, a novel flow-based visuomotor policy that enhances efficiency in robotic manipulation by imposing frequenc...

[2510.25867] Synthesizing High-Quality Visual Question Answering from Medical Documents with Generator-Verifier LMMs

This paper presents MedVLSynther, a framework for synthesizing high-quality visual question answering (VQA) from medical documents, enhan...

[2503.12286] Integrating Chain-of-Thought and Retrieval Augmented Generation Enhances Rare Disease Diagnosis from Clinical Notes

This article presents a novel approach combining Chain-of-Thought (CoT) and Retrieval Augmented Generation (RAG) to improve rare disease ...

[2502.17863] A Survey: Spatiotemporal Consistency in Video Generation

This survey reviews advancements in spatiotemporal consistency in video generation, addressing challenges and methodologies in creating c...

[2509.22007] Stage-wise Dynamics of Classifier-Free Guidance in Diffusion Models

This paper explores the dynamics of Classifier-Free Guidance (CFG) in diffusion models, revealing its effects on sampling processes and d...

[2509.00454] Universal Properties of Activation Sparsity in Modern Large Language Models

This article explores the universal properties of activation sparsity in modern large language models (LLMs), highlighting its implicatio...

[2508.11810] FairTabGen: High-Fidelity and Fair Synthetic Health Data Generation from Limited Samples

FairTabGen introduces a novel framework for generating high-fidelity synthetic healthcare data from limited samples, enhancing fairness a...

[2501.16534] Targeting Alignment: Extracting Safety Classifiers of Aligned LLMs

This article presents a novel technique for extracting safety classifiers from aligned large language models (LLMs) to address vulnerabil...

[2501.03544] PromptGuard: Soft Prompt-Guided Unsafe Content Moderation for Text-to-Image Models

PromptGuard introduces a novel method for moderating unsafe content in text-to-image models, enhancing safety without sacrificing image q...