4 citations · 4 across the 4 of their papers we have counts for
5 papers
Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs
Xu Zheng, Chaohao Lin, Zhuomin Chen +4
Recent advancements in inference-time scaling have significantly unlocked the complex reasoning capabilities of Large Language Models~(LLMs). However, for agents, these approaches…
RATT: A Thought Structure for Coherent and Correct LLM Reasoning
Jinghan Zhang, Xiting Wang, Weijieying Ren +3
Large Language Models (LLMs) gain substantial reasoning and decision-making capabilities from thought structures. However, existing methods such as Tree of Thought and Retrieval Au…
Gradient-Aware Logit Adjustment Loss for Long-tailed Classifier
Fan Zhang, Wei Qin, Weijieying Ren +3
In the real-world setting, data often follows a long-tailed distribution, where head classes contain significantly more training samples than tail classes. Consequently, models tra…
Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning
Weijieying Ren, Xinlong Li, Lei Wang +2
Existing research has shown that large language models (LLMs) exhibit remarkable performance in language understanding and generation. However, when LLMs are continuously fine-tune…
T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data
Weijieying Ren, Tianxiang Zhao, Wei Qin +1
In many real-world scenarios, distribution shifts exist in the streaming data across time steps. Many complex sequential data can be effectively divided into distinct regimes that…