activity
20232026
most citedMMCode: Benchmarking Multimodal Large Language Models for Code Generation with Visually Rich Programming Problems

1 citations · 2 across the 8 of their papers we have counts for

collaborators

10 papers

cs.CL2026

From Traces to Agentic Worlds: Agentic Language World Models for Interactive Environment Simulation

Quanyu Long, Xiao Chen, Jianda Chen +4

Realistic environment replicas are increasingly valuable for training and evaluating LLM agents, yet the original systems may be inaccessible or impractical to reproduce. We explor…

cs.LG2026

When Continual Learning Moves to Memory: A Study of Experience Reuse in LLM Agents

Qisheng Hu, Quanyu Long, Wenya Wang

Memory-augmented LLM agents offer an appealing shortcut to continual learning: rather than updating model parameters, they accumulate experience in external memory, seemingly sides…

cs.AI2026

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond

Meng Chu, Xuan Billy Zhang, Kevin Qinghong Lin +47

As AI systems move from generating text to accomplishing goals through sustained interaction, the ability to model environment dynamics becomes a central bottleneck. Agents that ma…

cs.CL2025

STARE at the Structure: Steering ICL Exemplar Selection with Structural Alignment

Jiaqian Li, Qisheng Hu, Jing Li +1

In-Context Learning (ICL) has become a powerful paradigm that enables LLMs to perform a wide range of tasks without task-specific fine-tuning. However, the effectiveness of ICL hea…

cs.AI2025

Coordinating Search-Informed Reasoning and Reasoning-Guided Search in Claim Verification

Qisheng Hu, Quanyu Long, Wenya Wang

Multi-hop claim verification is inherently challenging, requiring multi-step reasoning to construct verification chains while iteratively searching for information to uncover hidde…

cs.AI2025

BOOST: Bootstrapping Strategy-Driven Reasoning Programs for Program-Guided Fact-Checking

Qisheng Hu, Quanyu Long, Wenya Wang

Large language model pipelines have improved automated fact-checking for complex claims, yet many approaches rely on few-shot in-context learning with demonstrations that require s…

cs.CL2024★ 1 cited

Just What You Desire: Constrained Timeline Summarization with Self-Reflection for Enhanced Relevance

Muhammad Reza Qorib, Qisheng Hu, Hwee Tou Ng

Given news articles about an entity, such as a public figure or organization, timeline summarization (TLS) involves generating a timeline that summarizes the key events about the e…

cs.IR2024

Decomposition Dilemmas: Does Claim Decomposition Boost or Burden Fact-Checking Performance?

Qisheng Hu, Quanyu Long, Wenya Wang

Fact-checking pipelines increasingly adopt the Decompose-Then-Verify paradigm, where texts are broken down into smaller claims for individual verification and subsequently combined…

cs.CL2024★ 1 cited

MMCode: Benchmarking Multimodal Large Language Models for Code Generation with Visually Rich Programming Problems

Kaixin Li, Yuchen Tian, Qisheng Hu +3

Programming often involves converting detailed and complex specifications into code, a process during which developers typically utilize visual aids to more effectively convey conc…

cs.CL2023

InstructCoder: Instruction Tuning Large Language Models for Code Editing

Kaixin Li, Qisheng Hu, Xu Zhao +5

Code editing encompasses a variety of pragmatic tasks that developers deal with daily. Despite its relevance and practical usefulness, automatic code editing remains an underexplor…