Papers by Haisheng Zheng

3 papers
Divergent Thoughts toward One Goal: LLM-based Multi-Agent Collaboration System for Electronic Design Automation (2025.naacl-long)

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Challenge: Electronic design automation (EDA) is indispensable for the design of integrated circuits.
Approach: They propose a multi-agent collaboration system where multiple agents harbor divergent thoughts converge towards a common goal.
Outcome: The proposed system shows superior performance compared to single-agent systems.
Efficient OpAmp Adaptation for Zoom Attention to Golden Contexts (2025.acl-long)

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Challenge: Large language models have shown significant promise in question-answering tasks . noisy reference documents hinder performance of LLMs, causing disproportionate attention to irrelevant content .
Approach: They propose an adaptive large language model that allocates disproportionate attention to irrelevant documents . they use transformers to train the model and integrate it into pre-trained Transformer blocks .
Outcome: The proposed model outperforms state-of-the-art models on noisy-context benchmarks.
Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks (2024.emnlp-main)

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Challenge: Large language models (LLMs) have demonstrated considerable proficiency in general natural language processing tasks.
Approach: They propose a parameter-efficient sparsity crafting method which crafts dense models into sparse models using the mixture-of-experts architecture.
Outcome: The proposed method significantly reduces computational costs and GPU memory requirements, while maintaining the quality of approximation in function space.

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