Small and Efficient Mathematical Reasoning LLMs
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Updated
Jan 27, 2024 - Python
Small and Efficient Mathematical Reasoning LLMs
[ACL 2023] Solving Math Word Problems via Cooperative Reasoning induced Language Models (LLMs + MCTS + Self-Improvement)
Reproducible Language Agent Research
DeepSeek-V4.1-Flash inference on NVIDIA Ampere with vLLM, SM80 patches, reproducible throughput and coding-agent benchmarks. Tested on 8x A800 80GB.
DICE: Detecting In-distribution Data Contamination with LLM's Internal State
Fast runtime for Random Optimization at scale.
GRPO and SFT Finetune Qwen3 using Unsloth : Reasoning and Non-Reasoning Dataset
Prompt-engineering study on LLM math reasoning (GSM8K) and code generation (HumanEval): zero/few-shot, self-consistency, self-verification, and experiments on prompt quality, complexity, demonstrations, and diversity.
CS336 作业 5:基于 Qwen2.5 模型的 LLM 对齐与推理强化学习。完整实现了监督微调(SFT)与组相对策略优化(GRPO)算法,并在 GSM8K 数据集上完成零样本、在策与离策的训练与评估对比。
OpenCompass evaluation harness inspired by Agent0, with reproducible GPT-4o-mini runs on GSM8K and MATH; co-training is not yet implemented.
大模型推理评测一体化平台:速度 / 能力 / 代码生成三维评测,OpenAI 兼容端点,纯 Python 标准库
Short-CoT distilled GSM8K dataset generated with OpenAI gpt-oss-120b.
GSM8K-Consistency is a benchmark database for analyzing the consistency of Arithmetic Reasoning on GSM8K.
Hard Reasoning Benchmark filtered with disagreement scores
Code and results for consistency-gated self-correction in large language model reasoning.
An evaluation of prompting techniques (Zero-Shot CoT, Few-Shot, Self-Consistency) on the Mistral-7B model for mathematical reasoning. This project systematically benchmarks 7 distinct methods on the GSM8K dataset.
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