SOTAVerified

Instruction Following

Instruction following is the basic task of the model. This task is dedicated to evaluating the ability of the large model to follow human instructions. It is hoped that the model can generate controllable and safe answers.

Papers

Showing 501510 of 1135 papers

TitleStatusHype
1.5-Pints Technical Report: Pretraining in Days, Not Months -- Your Language Model Thrives on Quality DataCode3
Extend Model Merging from Fine-Tuned to Pre-Trained Large Language Models via Weight DisentanglementCode1
A Framework for Fine-Tuning LLMs using Heterogeneous Feedback0
Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments0
Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language ModelsCode0
Autonomous Improvement of Instruction Following Skills via Foundation ModelsCode2
SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian LanguagesCode2
SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain0
ReALFRED: An Embodied Instruction Following Benchmark in Photo-Realistic EnvironmentsCode1
Efficient Inference of Vision Instruction-Following Models with Elastic CacheCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoIF (Llama3 70B)Inst-level loose-accuracy90.4Unverified
2AutoIF (Qwen2 72B)Inst-level loose-accuracy88Unverified
3GPT-4Inst-level loose-accuracy85.37Unverified
4PaLM 2 SInst-level loose-accuracy59.11Unverified