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 861–870 of 1135 papers

TitleStatusHype
Adversarial Moment-Matching Distillation of Large Language ModelsCode0
Scalable Ensembling For Mitigating Reward Overoptimisation—0
LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models—0
Phased Instruction Fine-Tuning for Large Language ModelsCode0
clembench-2024: A Challenging, Dynamic, Complementary, Multilingual Benchmark and Underlying Flexible Framework for LLMs as Multi-Action Agents—0
Improving Reward Models with Synthetic Critiques—0
Joint Embeddings for Graph Instruction Tuning—0
TS-Align: A Teacher-Student Collaborative Framework for Scalable Iterative Finetuning of Large Language Models—0
Nadine: An LLM-driven Intelligent Social Robot with Affective Capabilities and Human-like Memory—0
InstructionCP: A fast approach to transfer Large Language Models into target language—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