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 301–310 of 1135 papers

TitleStatusHype
RuleR: Improving LLM Controllability by Rule-based Data RecyclingCode1
Hybrid Alignment Training for Large Language ModelsCode1
LLaSA: A Multimodal LLM for Human Activity Analysis Through Wearable and Smartphone SensorsCode1
Finding Blind Spots in Evaluator LLMs with Interpretable ChecklistsCode1
RS-GPT4V: A Unified Multimodal Instruction-Following Dataset for Remote Sensing Image UnderstandingCode1
ChatBug: A Common Vulnerability of Aligned LLMs Induced by Chat TemplatesCode1
WPO: Enhancing RLHF with Weighted Preference OptimizationCode1
TasTe: Teaching Large Language Models to Translate through Self-ReflectionCode1
SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific LiteratureCode1
Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play ApproachCode1
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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