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 391–400 of 1135 papers

TitleStatusHype
InsViE-1M: Effective Instruction-based Video Editing with Elaborate Dataset ConstructionCode1
Answer is All You Need: Instruction-following Text Embedding via Answering the QuestionCode1
Context-Aware Planning and Environment-Aware Memory for Instruction Following Embodied AgentsCode1
Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play ApproachCode1
Is In-Context Learning Sufficient for Instruction Following in LLMs?Code1
INSTRUCTIR: A Benchmark for Instruction Following of Information Retrieval ModelsCode1
Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-following LLMCode1
Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation ExtractorsCode1
An In-depth Look at Gemini's Language AbilitiesCode1
InstructTTSEval: Benchmarking Complex Natural-Language Instruction Following in Text-to-Speech SystemsCode1
Show:102550
← PrevPage 40 of 114Next →

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