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Junda Wu

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Review Sep 2026

Joint and Cross-Modal Video-Audio Generation and Editing: A Unified Formulation and Design Taxonomy

Video and audio are perceived together, yet most generative models treat them in isolation. We examine methods that model the two modalities jointly, generate one from the other, or edit them in a coupled manner, organized around a single question: how is the output kept coherent across modalities in time and semantics...

Abhinav Sharma, S. Navuluru, Wang Wei et al. · 0 citations
Jul 2026

RRPO: Reference-Relative Policy Optimization with Stratified Conditional Rollouts

Group Relative Policy Optimization (GRPO) has shown strong effectiveness in reinforcement learning from verifiable feedback, where sampled rollouts can be compared within a group using task-provided correctness signals. However, extending group-relative optimization beyond verifiable settings is challenging because suc...

Yuxin Xiong, Xun-Yi Jiang, Rohan Surana et al. · 0 citations
#artificial intelligence Preprint Aug 2026

Toward Latent Language Model Skills Steering and Optimization: An Empirical Study

This empirical study investigates whether procedural LLM skills can be represented as directions in activation space and whether vector-space operations over these directions can express skill-level behaviors and finds that procedural skills admit a vector-space representation.

Xun-Yi Jiang, Junda Wu, Yuxin Xiong et al. · 0 citations
#artificial intelligence Review Aug 2026

Agent2UCB: Agentic System for Generative Engine Optimization

Agent2UCB is demonstrated, an agentic GEO system that autonomously improves content visibility through customized, feedback-driven optimization and provides a lightweight, text-only SEO readiness evaluation covering readability, topical coverage, and EEAT-style credibility.

Sheldon Yu, Rui Wang, Tong Yu et al. · 0 citations
Jul 2026

Filesystem-Based Memory for LLM Agents: Organization, Evolution, and Sustainability

The study turns the filesystem default from an assumption into a design space for agent memory, and turns the model is not the only lever over a store's shape: changing the tool set alone reshapes the store as strongly as swapping the model.

Sizhe Zhou, Sheldon Yu, Hui Wei et al. · 0 citations
Jul 2026

Can We Break LLMs Out of Self-Loops? Fine-Grained Reasoning Control with Activation Steering

This work treats each reasoning trace as a sequence of latent states rather than an unstructured texts, and investigates whether inference time interventions can provide fine-grained control over the self-looping reasoning process.

Sheldon Yu, Tong Yu, Xunyi Jiang et al. · 0 citations
#artificial intelligence Preprint Dec 2025

Evaluating Music Context Preservation: A Multi-facet Framework for Music Editing Systems

The first MuseCP evaluation framework is introduced that covers four categories of music facets with fine-grained and well-tailored metrics to capture nuanced changes in music attributes and hopes it can offer practical guidance for developing more effective and reliable music editing strategies with strong MuseCP capa...

Yash Vishe, Eric Xue, Xunyi Jiang et al. · 1 citation

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