Papers by Fanjin Zhang

2 papers
RPC-Bench: A Fine-grained Benchmark for Research Paper Comprehension (2026.acl-long)

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Challenge: Existing benchmarks for understanding research papers offer limited fine-grained evaluation at scale.
Approach: They propose a large-scale question-answering benchmark built from review–rebuttal exchanges of high-quality computer science papers.
Outcome: The proposed model is based on human-verified QA pairs and contains 15K questions.
SAM Decoding: Speculative Decoding via Suffix Automaton (2025.acl-long)

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Challenge: Speculative decoding (SD) methods are inefficient and rely on single retrieval resources.
Approach: They propose a retrieval-based speculative decoding method that adapts the suffix automaton for efficient draft generation by utilizing the generating text sequence and static text corpus.
Outcome: The proposed method can find the longest suffix match and can be integrated with existing methods to generalize to broader domains.

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