activity
20232026
most citedParameter-Efficient Fine-Tuning with Discrete Fourier Transform

5 citations · 5 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CL2026

CivWorldBench: Evaluating Language World Models in Structured Multi-Agent Sandbox Worlds

Ang Li, Haofei Yu, Zhengwei Tao +7

The growing use of language models for forecasting motivates a broader evaluation of their world-model capabilities. Such evaluation must go beyond predictive accuracy to assess hi…

cs.AI2026

CVE-SAI: Counterfactual Visual Evidence-Guided Selective Attribute Indexing for Risk-Controlled E-commerce Search

Xiaolong Sun, Qichao Wang, Hangyu Li +1

Multimodal product models can complete missing e-commerce attributes, yet current methods still optimize attribute-answer accuracy without verifying visual support, conflate transi…

cs.AI2026

Controlled Memory Interference in Continual LLM Agents

Ao Ding, Hongzong LI, Shiqin Tang +4

Long-term memory enables AI agents to maintain continuity across sessions, personalize behavior, and evolve through accumulated experience. Yet memory evolution is not simply a pro…

cs.AI2026

Verifiable Memory: Learning Unified Memory Management with Local and Global Verifiers for Large Language Model Agents

Xiaolong Sun, Qichao Wang, Hangyu Li +1

Large language model (LLM) agents must retain reusable information, control a bounded active context, and recover earlier evidence during long-horizon interaction. Existing methods…

cs.CL2025

NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction

Qichao Wang, Ziqiao Meng, Wenqian Cui +6

Inspired by the impressive capabilities of GPT-4o, there is growing interest in enabling speech language models (SLMs) to engage in natural, fluid spoken interactions with humans.…

cs.LG2024★ 5 cited

Parameter-Efficient Fine-Tuning with Discrete Fourier Transform

Ziqi Gao, Qichao Wang, Aochuan Chen +4

Low-rank adaptation~(LoRA) has recently gained much interest in fine-tuning foundation models. It effectively reduces the number of trainable parameters by incorporating low-rank m…

cs.CY2023

Language Agents for Detecting Implicit Stereotypes in Text-to-image Models at Scale

Qichao Wang, Tian Bian, Yian Yin +6

The recent surge in the research of diffusion models has accelerated the adoption of text-to-image models in various Artificial Intelligence Generated Content (AIGC) commercial pro…

cs.CL2023

WatME: Towards Lossless Watermarking Through Lexical Redundancy

Liang Chen, Yatao Bian, Yang Deng +4

Text watermarking has emerged as a pivotal technique for identifying machine-generated text. However, existing methods often rely on arbitrary vocabulary partitioning during decodi…

cs.CL2023

Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators

Liang Chen, Yang Deng, Yatao Bian +4

Large language models (LLMs) outperform information retrieval techniques for downstream knowledge-intensive tasks when being prompted to generate world knowledge. However, communit…