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

Showing 771780 of 1135 papers

TitleStatusHype
Mitigating the Influence of Distractor Tasks in LMs with Prior-Aware Decoding0
LongAlign: A Recipe for Long Context Alignment of Large Language ModelsCode3
Taking Action Towards Graceful Interaction: The Effects of Performing Actions on Modelling Policies for Instruction Clarification RequestsCode0
EarthGPT: A Universal Multi-modal Large Language Model for Multi-sensor Image Comprehension in Remote Sensing DomainCode2
KAUCUS: Knowledge Augmented User Simulators for Training Language Model Assistants0
SelectLLM: Can LLMs Select Important Instructions to Annotate?Code1
EAGLE: Speculative Sampling Requires Rethinking Feature UncertaintyCode7
F-Eval: Assessing Fundamental Abilities with Refined Evaluation MethodsCode1
Towards 3D Molecule-Text Interpretation in Language ModelsCode2
Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-AlignmentCode3
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoIF (Llama3 70B)Inst-level loose-accuracy90.4Unverified
2AutoIF (Qwen2 72B)Inst-level loose-accuracy88Unverified
3GPT-4Inst-level loose-accuracy85.37Unverified
4PaLM 2 SInst-level loose-accuracy59.11Unverified