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 711–720 of 1135 papers

TitleStatusHype
FALCON: Feedback-driven Adaptive Long/short-term memory reinforced Coding Optimization systemCode0
SWITCH: Studying with Teacher for Knowledge Distillation of Large Language Models—0
BioMistral-NLU: Towards More Generalizable Medical Language Understanding through Instruction Tuning—0
Unbounded: A Generative Infinite Game of Character Life Simulation—0
Cross-lingual Transfer of Reward Models in Multilingual AlignmentCode0
Towards Understanding the Fragility of Multilingual LLMs against Fine-Tuning Attacks—0
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains—0
Griffon-G: Bridging Vision-Language and Vision-Centric Tasks via Large Multimodal Models—0
Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Experiments, and Challenges—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