SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities (2023 · 347 citations)
Most systems that let large language models talk chain separate ASR and TTS modules around a text LLM. This design keeps the LLM's knowledge from reaching the speech modality, discards cues such as emotion and prosody, and lets errors pile up between stages. SpeechGPT addresses this by converting speech into discrete…
Case2Code: Scalable Synthetic Data for Code Generation (2025 · 7 citations)
Code LLMs are often improved with synthetic instruction data, but this data usually comes from a strong teacher model.
LoPT: Lossless Parallel Tokenization Acceleration for Long Context Inference of Large Language Model (2026 · 2 citations)
LoPT targets an often-ignored source of latency in long-context LLM inference: tokenization of very long inputs, which runs on the CPU.
WildGraphBench: Benchmarking GraphRAG with Wild-Source Corpora (2026 · 1 citation)
Most GraphRAG benchmarks use short, pre-cleaned passages. That makes it hard to judge how graph-based retrieval copes with long, messy, mixed-source document collections, the setting where it should help most. WildGraphBench fills this gap using Wikipedia. Articles from 12 top-level topics are sampled. The external…

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Updated 1 November 2026