activity
20212026
most citedWhen Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities

338 citations · 367 across the 22 of their papers we have counts for

collaborators
Showing 2025Show all

5 papers · 1 filter

cs.AI2025

Klear-AgentForge: Forging Agentic Intelligence through Posttraining Scaling

Qi Wang, Hongzhi Zhang, Jia Fu +12

Despite the proliferation of powerful agentic models, the lack of critical post-training details hinders the development of strong counterparts in the open-source community. In thi…

cs.AI2025

What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning

Gangwei Jiang, Yahui Liu, Zhaoyi Li +5

Recent advances in reasoning with large language models (LLMs) have popularized Long Chain-of-Thought (LCoT), a strategy that encourages deliberate and step-by-step reasoning befor…

cs.CL2025

Learning to Substitute Components for Compositional Generalization

Zhaoyi Li, Gangwei Jiang, Chenwang Wu +3

Despite the rising prevalence of neural language models, recent empirical evidence suggests their deficiency in compositional generalization. One of the current de-facto solutions…

cs.LG2025

Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning

Gangwei Jiang, Caigao Jiang, Zhaoyi Li +5

Catastrophic forgetting (CF) poses a significant challenge in machine learning, where a model forgets previously learned information upon learning new tasks. Despite the advanced c…

cs.LG2025

GTM: A General Time-series Model for Enhanced Representation Learning of Time-Series Data

Cheng He, Xu Huang, Gangwei Jiang +7

Despite recent progress in time-series foundation models, challenges persist in improving representation learning and adapting to diverse downstream tasks. We introduce a General T…