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 371–380 of 1135 papers

TitleStatusHype
ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language TuningCode1
Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions FollowingCode2
GATEAU: Selecting Influential Samples for Long Context AlignmentCode1
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
LoGU: Long-form Generation with Uncertainty ExpressionsCode1
Do LLMs "know" internally when they follow instructions?Code1
Do LLMs estimate uncertainty well in instruction-following?Code0
Boosting LLM Translation Skills without General Ability Loss via Rationale Distillation—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