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 721–730 of 1135 papers

TitleStatusHype
Benchmarking and Improving Generator-Validator Consistency of Language Models—0
PIPA: A Unified Evaluation Protocol for Diagnosing Interactive Planning Agents—0
Pipeline Analysis for Developing Instruct LLMs in Low-Resource Languages: A Case Study on Basque—0
UniEval: Unified Holistic Evaluation for Unified Multimodal Understanding and Generation—0
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs—0
Plan, Eliminate, and Track -- Language Models are Good Teachers for Embodied Agents—0
Plug-and-Play Grounding of Reasoning in Multimodal Large Language Models—0
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision Language Audio and Action—0
Unified Mind Model: Reimagining Autonomous Agents in the LLM Era—0
Becoming self-instruct: introducing early stopping criteria for minimal instruct tuning—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