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20242026
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cs.CL2026

Spark-to-Paper: End-to-End Research Paper Generation as a Composable Skill

Zhuoyang Qian, Biao Wu, Yiran Wang +6

Turning a research idea into a complete paper requires more than text generation: the system must retrieve literature, design and execute experiments, revise claims according to ev…

cs.CL2026

PaperJury: Due-Process Review for Bounded LaTeX Revision

Yiran Wang, Ruixuan An, Biao Wu +1

Pre-submission hardening of human-authored LaTeX computer science papers differs from drafting assistance because it requires adversarial whole-paper review, explicit no-fix outcom…

cs.CL2026

Large Language Model as Token Compressor and Decompressor

Wenbing Li, Yiran Wang, Zikai Song +4

In this paper, we study whether an off-the-shelf LLM can be adapted into a discrete, variable-length token compressor and decompressor for long-context processing. To this end, we…

cs.CL2025

Registering Source Tokens to Target Language Spaces in Multilingual Neural Machine Translation

Zhi Qu, Yiran Wang, Jiannan Mao +4

The multilingual neural machine translation (MNMT) aims for arbitrary translations across multiple languages. Although MNMT-specific models trained on parallel data offer low costs…

cs.CL2024

Improving Language Transfer Capability of Decoder-only Architecture in Multilingual Neural Machine Translation

Zhi Qu, Yiran Wang, Chenchen Ding +3

Existing multilingual neural machine translation (MNMT) approaches mainly focus on improving models with the encoder-decoder architecture to translate multiple languages. However,…

cs.CL2024

On Eliciting Syntax from Language Models via Hashing

Yiran Wang, Masao Utiyama

Unsupervised parsing, also known as grammar induction, aims to infer syntactic structure from raw text. Recently, binary representation has exhibited remarkable information-preserv…