InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning (2024 · 90 citations)
InternLM-Math is a family of open math-specialised LLMs from Shanghai AI Laboratory and partner universities.
VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search (2025 · 13 citations)
Large vision-language models (LVLMs) still struggle with geometry problems and spatial navigation. People handle such tasks by sketching, checking intermediate pictures and trying alternative routes. Earlier multimodal "slow thinking" methods either reason purely in text over a fixed input image or add visual help…
Unearthing Large Scale Domain-Specific Knowledge from Public Corpora (2024 · 10 citations)
Building domain-specific corpora for LLMs usually requires experts to pick sources and engineers to scrape them.
XY-Tokenizer: Mitigating the Semantic-Acoustic Conflict in Low-Bitrate Speech Codecs (2026 · 4 citations)
Speech LLMs need discrete tokens that carry both linguistic content and acoustic detail. At low bitrates, codecs typically trade one for the other. This paper introduces XY-Tokenizer, a codec of roughly 1 kbps designed to reduce that tension.
WESR: A Benchmark and Strong Baseline for Word-level Event-Speech Recognition (2026)
Most speech recognition systems discard non-verbal vocalizations such as laughter, coughing or whispering.

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Papers of our library cite their works 383 times (of the 149,439 papers whose bibliographies we read); 120 citing papers with a page here →.

Updated 2 November 2026