Spark-TTS: Text-2-Speech Model Single-Stream Decoupled Tokens [pdf] (arxiv.org)

Screenshot of arxiv.org: Spark-TTS: Text-2-Speech Model Single-Stream Decoupled Tokens [pdf]

First screen, captured 1 year ago.

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Screenshot of arxiv.org: SplitQuantV2: Enhancing Low-Bit Quantization of LLMs Without GPUs

SplitQuantV2: Enhancing Low-Bit Quantization of LLMs Without GPUs (arxiv.org)

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Screenshot of arxiv.org: SparseLoCo: Communication-Efficient LLM Training

SparseLoCo: Communication-Efficient LLM Training (arxiv.org)

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Screenshot of arxiv.org: StreamingLLM: Efficient streaming technique enable infinite sequence lengths

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Screenshot of arxiv.org: High-Fidelity Simultaneous Speech-to-Speech Translation

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Screenshot of arxiv.org: Scalable MatMul-Free Language Modeling

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Screenshot of arxiv.org: Some critical issues with the SWE-bench dataset

Some critical issues with the SWE-bench dataset (arxiv.org)

331 points by joshwa 1 year ago | 113 comments

arXiv paper introducing SWE-Bench+, an empirical analysis revealing data quality issues in the SWE-bench coding benchmark for LLMs, such as solution leakage and weak tests.

swe-bench llm-benchmarks code-generation gpt-4

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SplitQuantV2: Enhancing Low-Bit Quantization of LLMs Without GPUs(arxiv.org)

SparseLoCo: Communication-Efficient LLM Training(arxiv.org)

StreamingLLM: Efficient streaming technique enable infinite sequence lengths(arxiv.org)

High-Fidelity Simultaneous Speech-to-Speech Translation(arxiv.org)

Scalable MatMul-Free Language Modeling(arxiv.org)

Some critical issues with the SWE-bench dataset(arxiv.org)