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 611–620 of 1135 papers

TitleStatusHype
TS-Align: A Teacher-Student Collaborative Framework for Scalable Iterative Finetuning of Large Language Models—0
X-Instruction: Aligning Language Model in Low-resource Languages with Self-curated Cross-lingual InstructionsCode0
Nadine: An LLM-driven Intelligent Social Robot with Affective Capabilities and Human-like Memory—0
Instruction-Guided Visual MaskingCode1
Is In-Context Learning Sufficient for Instruction Following in LLMs?Code1
InstructionCP: A fast approach to transfer Large Language Models into target language—0
AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source DataCode1
X-VILA: Cross-Modality Alignment for Large Language Model—0
MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn InteractionsCode1
BLSP-KD: Bootstrapping Language-Speech Pre-training via Knowledge Distillation—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