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 401–410 of 1135 papers

TitleStatusHype
Answer is All You Need: Instruction-following Text Embedding via Answering the QuestionCode1
Contrastive Vision-Language Alignment Makes Efficient Instruction LearnerCode1
IDA-Bench: Evaluating LLMs on Interactive Guided Data AnalysisCode1
An In-depth Look at Gemini's Language AbilitiesCode1
Opening up ChatGPT: Tracking openness, transparency, and accountability in instruction-tuned text generatorsCode1
PathAsst: A Generative Foundation AI Assistant Towards Artificial General Intelligence of PathologyCode1
Bridging and Modeling Correlations in Pairwise Data for Direct Preference OptimizationCode1
Online Preference Alignment for Language Models via Count-based ExplorationCode1
Don't Reinvent the Wheel: Efficient Instruction-Following Text Embedding based on Guided Space TransformationCode1
On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot ReasoningCode1
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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