https://github.com/kaistAI/LangBridge
공식 코드LangBridge: Multilingual Reasoning Without Multilingual Supervision
Papers with Code 아카이브
Mathematical Reasoning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
- 11
- 보존된 평가 기록
- 41
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/kaiwenzha/rl-tango
공식 코드RL Tango: Reinforcing Generator and Verifier Together for Language Reasoning
https://github.com/kathrinse/math-reasoning-benchmark
공식 코드https://github.com/kbsdjames/math-minos
공식 코드https://github.com/kbsdjames/omni-math
공식 코드Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
https://github.com/kbsdjames/omni-math-rule
공식 코드Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
https://github.com/kevivk/mwp_adversarial
공식 코드Adversarial Examples for Evaluating Math Word Problem Solvers
https://github.com/kipok/nemo-skills
공식 코드OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
https://github.com/knovel-eng/mod
공식 코드MoD: A Distribution-Based Approach for Merging Large Language Models
https://github.com/knoveleng/mod
공식 코드MoD: A Distribution-Based Approach for Merging Large Language Models
https://github.com/knoveleng/open-rs
공식 코드Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't
https://github.com/kojima-takeshi188/zero_shot_cot
공식 코드https://github.com/kolk/low-resource-tableqa-indic-languages
공식 코드https://github.com/kongds/mora
공식 코드MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
https://github.com/kumar-shridhar/siked
공식 코드SIKeD: Self-guided Iterative Knowledge Distillation for mathematical reasoning
https://github.com/kumarmanas/TAMP_COT_TL
공식 코드https://github.com/kuvvius/speculative-rm
공식 코드Speculative Reward Model Boosts Decision Making Ability of LLMs Cost-Effectively
https://github.com/langfengq/verl-agent
공식 코드https://github.com/larahack/formalization_papers_supplemental
공식 코드Nanopublication-Based Semantic Publishing and Reviewing: A Field Study with Formalization Papers
https://github.com/leo-yangli/vb-lora
공식 코드VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks
https://github.com/lhl3341/metaladder
공식 코드MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer
https://github.com/lifan-yuan/craft
공식 코드CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets
https://github.com/linkedin/controlllm
공식 코드Control LLM: Controlled Evolution for Intelligence Retention in LLM
https://github.com/littlecirc1e/eic
공식 코드https://github.com/liuchengwucn/safe
공식 코드https://github.com/lizn-zn/neqlips
공식 코드Proving Olympiad Inequalities by Synergizing LLMs and Symbolic Reasoning
https://github.com/llm360/megamath
공식 코드https://github.com/luffycodes/tutorbot-spock-phys
공식 코드Code Soliloquies for Accurate Calculations in Large Language Models
https://github.com/lupantech/InterGPS
공식 코드Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning
https://github.com/lupantech/dl4math
공식 코드https://github.com/lupantech/iconqa
공식 코드IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning
https://github.com/lupantech/promptpg
공식 코드RetICL: Sequential Retrieval of In-Context Examples with Reinforcement Learning
https://github.com/lux0926/asprm
공식 코드AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence
https://github.com/lyh-yf/mwptoolkit
공식 코드MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers
https://github.com/lzhenwen/mwp-bert
공식 코드MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving
https://github.com/mandar-sharma/overcomingbarriers
공식 코드Overcoming Barriers to Skill Injection in Language Modeling: Case Study in Arithmetic
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.