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 371380 of 1135 papers

TitleStatusHype
Instruct and Extract: Instruction Tuning for On-Demand Information ExtractionCode1
AlpaCare:Instruction-tuned Large Language Models for Medical ApplicationCode1
Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst DesignCode1
Democratizing Reasoning Ability: Tailored Learning from Large Language ModelCode1
BotChat: Evaluating LLMs' Capabilities of Having Multi-Turn DialoguesCode1
An Emulator for Fine-Tuning Large Language Models using Small Language ModelsCode1
Evaluating Large Language Models at Evaluating Instruction FollowingCode1
Understanding the Effects of RLHF on LLM Generalisation and DiversityCode1
TRACE: A Comprehensive Benchmark for Continual Learning in Large Language ModelsCode1
Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Alignment in New LanguagesCode1
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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