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 671–680 of 1135 papers

TitleStatusHype
HyperCLOVA X Technical Report—0
Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language ReasoningCode0
LLaMA-Excitor: General Instruction Tuning via Indirect Feature Interaction—0
Token-Efficient Leverage Learning in Large Language ModelsCode0
Direct Preference Optimization of Video Large Multimodal Models from Language Model RewardCode2
CoDa: Constrained Generation based Data Augmentation for Low-Resource NLPCode0
Small Language Models Learn Enhanced Reasoning Skills from Medical Textbooks—0
Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You WantCode2
Plug-and-Play Grounding of Reasoning in Multimodal Large Language Models—0
Top Leaderboard Ranking = Top Coding Proficiency, Always? EvoEval: Evolving Coding Benchmarks via LLMCode2
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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