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MMLU

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

https://github.com/01-ai/yi

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Yi: Open Foundation Models by 01.AI

https://github.com/23japhone/halo

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HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems

https://github.com/8188zq/Inference-Time-Decontamination

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Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation

https://github.com/AVBochkov/Embeddings

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Emergent Semantics Beyond Token Embeddings: Transformer LMs with Frozen Visual Unicode Representations

https://github.com/EleutherAI/lm-evaluation-harness

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SCORE: Systematic COnsistency and Robustness Evaluation for Large Language Models

https://github.com/InstituteforDiseaseModeling/Bridging-the-Gap-Low-Resource-African-Languages

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Bridging the Gap: Enhancing LLM Performance for Low-Resource African Languages with New Benchmarks, Fine-Tuning, and Cultural Adjustments

https://github.com/LAB-FLAIR/Constrained-Unlearning-for-LLM

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SHA256 at SemEval-2025 Task 4: Selective Amnesia -- Constrained Unlearning for Large Language Models via Knowledge Isolation

https://github.com/LabARSS/question-complextiy-estimation

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When an LLM is apprehensive about its answers -- and when its uncertainty is justified

https://github.com/Lumen-Laboratory/OpenGrok

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OpenGrok: Enhancing SNS Data Processing with Distilled Knowledge and Mask-like Mechanisms

https://github.com/NVIDIA/Megatron-LM

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An Empirical Study of Mamba-based Language Models

https://github.com/NVIDIA/NeMo

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Llama 3 Meets MoE: Efficient Upcycling

https://github.com/Rain9876/ShareLoRA

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ShareLoRA: Parameter Efficient and Robust Large Language Model Fine-tuning via Shared Low-Rank Adaptation

https://github.com/SeffiCohen/CBOD

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Forget What You Know about LLMs Evaluations - LLMs are Like a Chameleon

https://github.com/WangRongsheng/Aurora

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Aurora:Activating Chinese chat capability for Mixtral-8x7B sparse Mixture-of-Experts through Instruction-Tuning

https://github.com/adkipnis/metabench

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$\texttt{metabench}$ -- A Sparse Benchmark to Measure General Ability in Large Language Models

https://github.com/ahmedselhady/wicked-benchmarks

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WiCkeD: A Simple Method to Make Multiple Choice Benchmarks More Challenging

https://github.com/alexandrasouly/strongreject

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A StrongREJECT for Empty Jailbreaks

https://github.com/apple/axlearn

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Revisiting MoE and Dense Speed-Accuracy Comparisons for LLM Training

https://github.com/aryopg/mmlu-redux

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Are We Done with MMLU?

https://github.com/asgsaeid/eqt

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Explain-Query-Test: Self-Evaluating LLMs Via Explanation and Comprehension Discrepancy

https://github.com/asgsaeid/mmlu-pro-plus

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MMLU-Pro+: Evaluating Higher-Order Reasoning and Shortcut Learning in LLMs

https://github.com/baichuan-inc/baichuan2

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Baichuan 2: Open Large-scale Language Models

https://github.com/camtice/sandbagdetect

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Noise Injection Reveals Hidden Capabilities of Sandbagging Language Models

https://github.com/case-lab-umd/llm-drop

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What Matters in Transformers? Not All Attention is Needed

https://github.com/ceezh/silvr

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SiLVR: A Simple Language-based Video Reasoning Framework

https://github.com/ceferisbarov/TUMLU

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TUMLU: A Unified and Native Language Understanding Benchmark for Turkic Languages

https://github.com/chengez/DyePack

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DyePack: Provably Flagging Test Set Contamination in LLMs Using Backdoors

https://github.com/chengsong-huang/lara

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Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning

https://github.com/chenjux/afce

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Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs

https://github.com/chuangtaochen-tum/livemind

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LiveMind: Low-latency Large Language Models with Simultaneous Inference

https://github.com/cisnlp/mexa

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MEXA: Multilingual Evaluation of English-Centric LLMs via Cross-Lingual Alignment

https://github.com/convergence-ai/lm2

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LM2: Large Memory Models

https://github.com/data-dream-gdsp/Multiplex-CoT

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MyGO Multiplex CoT: A Method for Self-Reflection in Large Language Models via Double Chain of Thought Thinking

https://github.com/debrup-61/mathsensei

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MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical Reasoning

https://github.com/declare-lab/red-instruct

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Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment

https://github.com/disi-unibo-nlp/medgenie

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To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering

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