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 641–650 of 1135 papers

TitleStatusHype
Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following—0
InstructBooth: Instruction-following Personalized Text-to-Image Generation—0
Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning—0
Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy—0
InstructionCP: A fast approach to transfer Large Language Models into target language—0
Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game—0
Instruction Following by Boosting Attention of Large Language Models—0
D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning—0
Instruction-following Evaluation through Verbalizer Manipulation—0
Instruction-Following Pruning for Large Language Models—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