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 491–500 of 1135 papers

TitleStatusHype
A Course Correction in Steerability Evaluation: Revealing Miscalibration and Side Effects in LLMsCode0
StyleAR: Customizing Multimodal Autoregressive Model for Style-Aligned Text-to-Image Generation—0
From Alignment to Advancement: Bootstrapping Audio-Language Alignment with Synthetic Data—0
Leveraging Importance Sampling to Detach Alignment Modules from Large Language Models—0
Evaluating Robustness of Large Audio Language Models to Audio Injection: An Empirical Study—0
RECAST: Strengthening LLMs' Complex Instruction Following with Constraint-Verifiable Data—0
Optimal Transport-Based Token Weighting scheme for Enhanced Preference OptimizationCode0
MIDB: Multilingual Instruction Data Booster for Enhancing Multilingual Instruction Synthesis—0
In-Context Watermarks for Large Language Models—0
Sparse Activation Editing for Reliable Instruction Following in Narratives—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