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 891–900 of 1135 papers

TitleStatusHype
Becoming self-instruct: introducing early stopping criteria for minimal instruct tuning—0
The Comparative Trap: Pairwise Comparisons Amplifies Biased Preferences of LLM Evaluators—0
Privately Aligning Language Models with Reinforcement Learning—0
Prompt Baking—0
Prompter: Utilizing Large Language Model Prompting for a Data Efficient Embodied Instruction Following—0
Unleashing Hour-Scale Video Training for Long Video-Language Understanding—0
PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics Capabilities—0
PUMGPT: A Large Vision-Language Model for Product Understanding—0
BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation—0
Quantifying and Attributing the Hallucination of Large Language Models via Association Analysis—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