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20232026
most citedInterpersonal Memory Matters: A New Task for Proactive Dialogue Utilizing Conversational History

1 citations · 4 across the 11 of their papers we have counts for

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7 papers · 1 filter

cs.CV2025

4DWorldBench: A Comprehensive Evaluation Framework for 3D/4D World Generation Models

Yiting Lu, Wei Luo, Peiyan Tu +8

World Generation Models are emerging as a cornerstone of next-generation multimodal intelligence systems. Unlike traditional 2D visual generation, World Models aim to construct rea…

cs.CL2025

SafeMT: Multi-turn Safety for Multimodal Language Models

Han Zhu, Juntao Dai, Jiaming Ji +8

With the widespread use of multi-modal Large Language models (MLLMs), safety issues have become a growing concern. Multi-turn dialogues, which are more common in everyday interacti…

cs.CL2025★ 1 cited

StoryBox: Collaborative Multi-Agent Simulation for Hybrid Bottom-Up Long-Form Story Generation Using Large Language Models

Zehao Chen, Rong Pan, Haoran Li

Human writers often begin their stories with an overarching mental scene, where they envision the interactions between characters and their environment. Inspired by this creative p…

cs.CL2025

Semi-Supervised Synthetic Data Generation with Fine-Grained Relevance Control for Short Video Search Relevance Modeling

Haoran Li, Zhiming Su, Junyan Yao +6

Synthetic data is widely adopted in embedding models to ensure diversity in training data distributions across dimensions such as difficulty, length, and language. However, existin…

cs.CV2025

Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning

Bob Zhang, Haoran Li, Tao Zhang +5

Multimodal Large Language Models (MLLMs) perform well in single-image visual grounding but struggle with real-world tasks that demand cross-image reasoning and multi-modal instruct…

cs.CL2025

KSOD: Knowledge Supplement for LLMs On Demand

Haoran Li, Junfeng Hu

Large Language Models (LLMs) have demonstrated remarkable capabilities in various tasks, yet still produce errors in domain-specific tasks. To further improve their performance, we…

cs.CL2025★ 1 cited

Interpersonal Memory Matters: A New Task for Proactive Dialogue Utilizing Conversational History

Bowen Wu, Wenqing Wang, Haoran Li +3

Proactive dialogue systems aim to empower chatbots with the capability of leading conversations towards specific targets, thereby enhancing user engagement and service autonomy. Ex…