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 831–840 of 1135 papers

TitleStatusHype
CoachLM: Automatic Instruction Revisions Improve the Data Quality in LLM Instruction TuningCode1
Towards Improving Document Understanding: An Exploration on Text-Grounding via MLLMsCode1
HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction DataCode1
LIMIT: Less Is More for Instruction Tuning Across Evaluation Paradigms—0
Data Diversity Matters for Robust Instruction Tuning—0
RecExplainer: Aligning Large Language Models for Explaining Recommendation Models—0
Traffic Sign Interpretation in Real Road Scene—0
WatME: Towards Lossless Watermarking Through Lexical Redundancy—0
Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination—0
DocLens: Multi-aspect Fine-grained Evaluation for Medical Text GenerationCode1
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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