Trending Research
Data Formulator 2: Iteratively Creating Rich Visualizations with AI
To create rich visualizations, data analysts often need to iterate back and forth among data processing and chart specification to achieve their goals.
LLM4Decompile: Decompiling Binary Code with Large Language Models
Decompilation aims to convert binary code to high-level source code, but traditional tools like Ghidra often produce results that are difficult to read and execute.
Cut Your Losses in Large-Vocabulary Language Models
We implement a custom kernel that performs the matrix multiplications and the log-sum-exp reduction over the vocabulary in flash memory, making global memory consumption for the cross-entropy computation negligible.
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
We scale a proof-of-concept model to 3. 5 billion parameters and 800 billion tokens.
FireRedASR: Open-Source Industrial-Grade Mandarin Speech Recognition Models from Encoder-Decoder to LLM Integration
We present FireRedASR, a family of large-scale automatic speech recognition (ASR) models for Mandarin, designed to meet diverse requirements in superior performance and optimal efficiency across various applications.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
Flaming-hot Initiation with Regular Execution Sampling for Large Language Models
volcengine/verl
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Since the release of ChatGPT, large language models (LLMs) have demonstrated remarkable capabilities across various domains.
s1: Simple test-time scaling
simplescaling/s1
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After supervised finetuning the Qwen2. 5-32B-Instruct language model on s1K and equipping it with budget forcing, our model s1-32B exceeds o1-preview on competition math questions by up to 27% (MATH and AIME24).
Ranked #4 on
Mathematical Reasoning
on AIME24
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
We present rStar-Math to demonstrate that small language models (SLMs) can rival or even surpass the math reasoning capability of OpenAI o1, without distillation from superior models.
Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound
The quantification of audio aesthetics remains a complex challenge in audio processing, primarily due to its subjective nature, which is influenced by human perception and cultural context.
MedRAX: Medical Reasoning Agent for Chest X-ray
Chest X-rays (CXRs) play an integral role in driving critical decisions in disease management and patient care.
