Papers by Fuming Lai

2 papers
MemBuilder: Reinforcing LLMs for Long-Term Memory Construction via Attributed Dense Rewards (2026.acl-long)

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Challenge: Memory-augmented frameworks fail to capture temporal evolution of historical states, limiting consistency in long-term dialogues.
Approach: They propose a framework that trains models to orchestrate multi-dimensional memory construction with attributed dense rewards.
Outcome: The proposed framework outperforms state-of-the-art closed-source models and generalizes well to OOD benchmarks.
DART: Distilling Autoregressive Reasoning to Silent Thought (2025.emnlp-main)

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Challenge: Existing models that use Chain-of-Thought (CoT) have been slow to deploy in real-time applications due to its autoregressive nature.
Approach: They propose a framework that replaces autoregressive CoT with non-autoregressive Silent Thought (ST) the framework uses a lightweight Reasoning Evolvement Module to align hidden states with the CoT pathway and a Reasoning Embedment Module (REM) during inference, only the ST pathway is activated, enabling the ST tokens to evolve into informative embeddings.
Outcome: The proposed framework replaces autoregressive CoT with non-autoregressive Silent Thought (ST) it enables LLMs to generate answers directly from ST tokens without additional computational cost .

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