most citedLearNAT: Learning NL2SQL with AST-guided Task Decomposition for Large Language Models

1 citations · 1 across the 2 of their papers we have counts for

collaborators

7 papers

cs.LG2026

Prior Diffusiveness and Regret in the Linear-Gaussian Bandit

Yifan Zhu, John C. Duchi, Benjamin Van Roy

We prove that Thompson sampling exhibits Bayesian regret in the linear-Gaussian bandit with a pri…

cs.CL20261 cited

LearNAT: Learning NL2SQL with AST-guided Task Decomposition for Large Language Models

Weibin Liao, Xin Gao, Tianyu Jia +6

Natural Language to SQL (NL2SQL) aims to translate natural language queries into executable SQL statements, offering non-expert users intuitive access to databases. While recent ap…

cs.CL2026

OmniRAG-Agent: Agentic Omnimodal Reasoning for Low-Resource Long Audio-Video Question Answering

Yifan Zhu, Xinyu Mu, Tao Feng +3

Long-horizon omnimodal question answering answers questions by reasoning over text, images, audio, and video. Despite recent progress on OmniLLMs, low-resource long audio-video QA…

cs.CL2026

Token-Guard: Towards Token-Level Hallucination Control via Self-Checking Decoding

Yifan Zhu, Huiqiang Rong, Haoran Luo

Large Language Models (LLMs) often hallucinate, generating content inconsistent with the input. Retrieval-Augmented Generation (RAG) and Reinforcement Learning with Human Feedback…

cs.AI2026

Vision Language Models for Optimization-Driven Intent Processing in Autonomous Networks

Tasnim Ahmed, Yifan Zhu, Salimur Choudhury

Intent-Based Networking (IBN) allows operators to specify high-level network goals rather than low-level configurations. While recent work demonstrates that large language models c…

eess.IV2025

Seed3D 1.0: From Images to High-Fidelity Simulation-Ready 3D Assets

Jiashi Feng, Xiu Li, Jing Lin +25

Developing embodied AI agents requires scalable training environments that balance content diversity with physics accuracy. World simulators provide such environments but face dist…