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 571–580 of 1135 papers

TitleStatusHype
XIFBench: Evaluating Large Language Models on Multilingual Instruction Following—0
Dr Genre: Reinforcement Learning from Decoupled LLM Feedback for Generic Text Rewriting—0
WildIFEval: Instruction Following in the WildCode0
S2S-Arena, Evaluating Speech2Speech Protocols on Instruction Following with Paralinguistic Information—0
IFIR: A Comprehensive Benchmark for Evaluating Instruction-Following in Expert-Domain Information Retrieval—0
Implicit Cross-Lingual Rewarding for Efficient Multilingual Preference AlignmentCode0
Unified Mind Model: Reimagining Autonomous Agents in the LLM Era—0
CodeIF-Bench: Evaluating Instruction-Following Capabilities of Large Language Models in Interactive Code Generation—0
Robust Learning of Diverse Code Edits—0
LEWIS (LayEr WIse Sparsity) -- A Training Free Guided Model Merging Approach—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