Papers with Code 아카이브

GSM8K

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

0

평가표

2

보존된 평가 기록

3

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/declare-lab/prove

공식 코드

Not All Votes Count! Programs as Verifiers Improve Self-Consistency of Language Models for Math Reasoning

https://github.com/devichand579/HPT

공식 코드

Hierarchical Prompting Taxonomy: A Universal Evaluation Framework for Large Language Models Aligned with Human Cognitive Principles

https://github.com/dlmaria/syzygy-of-thoughts

공식 코드

Syzygy of Thoughts: Improving LLM CoT with the Minimal Free Resolution

https://github.com/dvlab-research/diaggsm8k

공식 코드

MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model Evaluation

https://github.com/dvlab-research/mr-gsm8k

공식 코드

MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model Evaluation

https://github.com/dvlab-research/step-dpo

공식 코드

Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs

https://github.com/ecnu-icalk/educhat-math

공식 코드

CMM-Math: A Chinese Multimodal Math Dataset To Evaluate and Enhance the Mathematics Reasoning of Large Multimodal Models

https://github.com/ezelikman/quiet-star

공식 코드

Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

https://github.com/facebookresearch/any4

공식 코드

any4: Learned 4-bit Numeric Representation for LLMs

https://github.com/facebookresearch/layerskip

공식 코드

LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding

https://github.com/fairyshine/chain-of-tools

공식 코드

Chain-of-Tools: Utilizing Massive Unseen Tools in the CoT Reasoning of Frozen Language Models

https://github.com/fangru-lin/redial_dialect_robustness_fairness

공식 코드

One Language, Many Gaps: Evaluating Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks

https://github.com/freedomintelligence/ovm

공식 코드

OVM, Outcome-supervised Value Models for Planning in Mathematical Reasoning

https://github.com/gair-nlp/realign

공식 코드

Reformatted Alignment

https://github.com/gair-nlp/weak-to-strong-reasoning

공식 코드

Weak-to-Strong Reasoning

https://github.com/gblackout/reason-in-the-wild

공식 코드

Can LLMs Reason in the Wild with Programs?

https://github.com/gchatz22/reasoning-perturbations-study

공식 코드

Exploring LLM Reasoning Through Controlled Prompt Variations

https://github.com/geralt-targaryen/mc-evaluation

공식 코드

Multiple-Choice Questions are Efficient and Robust LLM Evaluators

https://github.com/git-disl/llm-topla

공식 코드

LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity

https://github.com/githubhyz/delta

공식 코드

DeLTa: A Decoding Strategy based on Logit Trajectory Prediction Improves Factuality and Reasoning Ability

https://github.com/gkevinyen5418/LoRA-RITE

공식 코드

LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization

https://github.com/google-deepmind/opro

공식 코드

Large Language Models as Optimizers

https://github.com/google-research/url-nlp

공식 코드

Language Models are Multilingual Chain-of-Thought Reasoners

https://github.com/gouki510/Topology_of_Reasoning

공식 코드

Topology of Reasoning: Understanding Large Reasoning Models through Reasoning Graph Properties

https://github.com/graphpku/pissa

공식 코드

PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models

https://github.com/gszfwsb/Data-Whisperer

공식 코드

Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning

https://github.com/gydpku/data_synthesis_rl

공식 코드

Synthetic Data RL: Task Definition Is All You Need

https://github.com/hanningzhang/er-prm

공식 코드

Entropy-Regularized Process Reward Model

https://github.com/hbin0701/Self-Explore

공식 코드

Self-Explore: Enhancing Mathematical Reasoning in Language Models with Fine-grained Rewards

https://github.com/hemingkx/tokenskip

공식 코드

TokenSkip: Controllable Chain-of-Thought Compression in LLMs

https://github.com/hishamalyahya/semantic_backprop

공식 코드

How to Correctly do Semantic Backpropagation on Language-based Agentic Systems

https://github.com/hiyouga/llama-factory

공식 코드

Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts

https://github.com/homzer/q-rm

공식 코드

Discriminative Policy Optimization for Token-Level Reward Models

https://github.com/horseee/cot-valve

공식 코드

CoT-Valve: Length-Compressible Chain-of-Thought Tuning

https://github.com/iie-ycx/deer

공식 코드

Dynamic Early Exit in Reasoning Models

https://github.com/internlm/internlm-math

공식 코드

InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.