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 321–330 of 1135 papers

TitleStatusHype
Finding Blind Spots in Evaluator LLMs with Interpretable ChecklistsCode1
Language Imbalance Driven Rewarding for Multilingual Self-improvingCode1
Large Language Models as Evaluators for Recommendation ExplanationsCode1
Agri-LLaVA: Knowledge-Infused Large Multimodal Assistant on Agricultural Pests and DiseasesCode1
Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-TranslationCode1
ChartInstruct: Instruction Tuning for Chart Comprehension and ReasoningCode1
DocLens: Multi-aspect Fine-grained Evaluation for Medical Text GenerationCode1
Jatmo: Prompt Injection Defense by Task-Specific FinetuningCode1
Enhancing Cross-Tokenizer Knowledge Distillation with Contextual Dynamical MappingCode1
CB2: Collaborative Natural Language Interaction Research PlatformCode1
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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