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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1091–1100 of 1135 papers

TitleStatusHype
Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual SettingsCode0
CORDIAL: Can Multimodal Large Language Models Effectively Understand Coherence Relationships?Code0
From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language ModelsCode0
FMDLlama: Financial Misinformation Detection based on Large Language ModelsCode0
X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in ClassificationCode0
Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation LearningCode0
Mitigating the Bias of Large Language Model EvaluationCode0
Synthetic Programming Elicitation for Text-to-Code in Very Low-Resource Programming and Formal LanguagesCode0
Self-Judge: Selective Instruction Following with Alignment Self-EvaluationCode0
Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language ReasoningCode0
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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