https://github.com/safal312/warmup-before-you-train
공식 코드Warm Up Before You Train: Unlocking General Reasoning in Resource-Constrained Settings
Papers with Code 아카이브
MMLU
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/sail-sg/symbolic-instruction-tuning
공식 코드From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning
https://github.com/sail-sg/verifree
공식 코드https://github.com/salt-nlp/dylan
공식 코드A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration
https://github.com/samanjoy2/bnmmlu
공식 코드BnMMLU: Measuring Massive Multitask Language Understanding in Bengali
https://github.com/sanyalsunny111/llm-inheritune
공식 코드Inheritune: Training Smaller Yet More Attentive Language Models
https://github.com/scottgeng00/delta_learning
공식 코드The Delta Learning Hypothesis: Preference Tuning on Weak Data can Yield Strong Gains
https://github.com/sempraety/pruning-via-merging
공식 코드Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging
https://github.com/serinachang5/interactive-eval
공식 코드https://github.com/shoaibahmed/llm_depth_pruning
공식 코드https://github.com/shwai-he/llm-drop
공식 코드https://github.com/sotopia-lab/sotopia-pi
공식 코드SOTOPIA-$π$: Interactive Learning of Socially Intelligent Language Agents
https://github.com/soyoung97/RoToR
공식 코드RoToR: Towards More Reliable Responses for Order-Invariant Inputs
https://github.com/stanford-crfm/biomedlm
공식 코드BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text
https://github.com/stzhang-patrick/arcmmlu
공식 코드ArcMMLU: A Library and Information Science Benchmark for Large Language Models
https://github.com/suzgunmirac/dynamic-cheatsheet
공식 코드https://github.com/teddy-xionggz/medrag
공식 코드Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions
https://github.com/the-inscrutable-x/tacq
공식 코드Task-Circuit Quantization: Leveraging Knowledge Localization and Interpretability for Compression
https://github.com/thiqah/arablegaleval
공식 코드ArabLegalEval: A Multitask Benchmark for Assessing Arabic Legal Knowledge in Large Language Models
https://github.com/thudm/chatglm-6b
공식 코드ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
https://github.com/tianyi-lab/bento
공식 코드BenTo: Benchmark Task Reduction with In-Context Transferability
https://github.com/tomyoung903/mlm_inconsistencies
공식 코드https://github.com/trustworthy-ml-lab/effective_skill_unlearning
공식 코드Effective Skill Unlearning through Intervention and Abstention
https://github.com/universe-sky/probing-then-editing-personality
공식 코드Probing then Editing Response Personality of Large Language Models
https://github.com/vila-lab/mobile-mmlu
공식 코드Mobile-MMLU: A Mobile Intelligence Language Understanding Benchmark
https://github.com/vincentkoc/tiny_qa_benchmark_pp
공식 코드https://github.com/vita-group/read-me
공식 코드Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design
https://github.com/vt-nlp/socratic-questioning
공식 코드The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models
https://github.com/wjx-git/Review-Instruct
공식 코드https://github.com/wuch15/performance-law-planner
공식 코드https://github.com/xxares/todo
공식 코드https://github.com/ypw0102/benchmaker
공식 코드LLM-Powered Benchmark Factory: Reliable, Generic, and Efficient
https://github.com/zayne-sprague/to-cot-or-not-to-cot
공식 코드To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
https://github.com/zetangforward/lcm_stack
공식 코드LOGO -- Long cOntext aliGnment via efficient preference Optimization
https://github.com/zhaoyiran924/adv-in-context-learning
공식 코드https://github.com/zhengxiangshi/instructionmodelling
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.