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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1101–1110 of 1135 papers

TitleStatusHype
LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following—0
LLaMA-Excitor: General Instruction Tuning via Indirect Feature Interaction—0
Collaborative decoding of critical tokens for boosting factuality of large language models—0
ThinkPatterns-21k: A Systematic Study on the Impact of Thinking Patterns in LLMs—0
CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following—0
LLaVA-c: Continual Improved Visual Instruction Tuning—0
LLaVA-Critic: Learning to Evaluate Multimodal Models—0
CodeIF-Bench: Evaluating Instruction-Following Capabilities of Large Language Models in Interactive Code Generation—0
CodecLM: Aligning Language Models with Tailored Synthetic Data—0
LLaVA-Ultra: Large Chinese Language and Vision Assistant for Ultrasound—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoIF (Llama3 70B)Inst-level loose-accuracy90.4—Unverified
2AutoIF (Qwen2 72B)Inst-level loose-accuracy88—Unverified
3GPT-4Inst-level loose-accuracy85.37—Unverified
4PaLM 2 SInst-level loose-accuracy59.11—Unverified