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

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Showing 191–200 of 1135 papers

TitleStatusHype
FLASK: Fine-grained Language Model Evaluation based on Alignment Skill SetsCode2
BuboGPT: Enabling Visual Grounding in Multi-Modal LLMsCode2
What Matters in Training a GPT4-Style Language Model with Multimodal Inputs?Code2
LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image UnderstandingCode2
BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language ModelsCode2
LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language ModelsCode2
MiniLLM: Knowledge Distillation of Large Language ModelsCode2
Valley: Video Assistant with Large Language model Enhanced abilitYCode2
STEVE-1: A Generative Model for Text-to-Behavior in MinecraftCode2
GPT4Tools: Teaching Large Language Model to Use Tools via Self-instructionCode2
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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