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 481–490 of 1135 papers

TitleStatusHype
CS4: Measuring the Creativity of Large Language Models Automatically by Controlling the Number of Story-Writing ConstraintsCode0
Optimal Transport-Based Token Weighting scheme for Enhanced Preference OptimizationCode0
AdaPPA: Adaptive Position Pre-Fill Jailbreak Attack Approach Targeting LLMsCode0
Order Matters: Investigate the Position Bias in Multi-constraint Instruction FollowingCode0
Hierarchical Modular Framework for Long Horizon Instruction FollowingCode0
Cross-lingual Transfer of Reward Models in Multilingual AlignmentCode0
Alignment-based compositional semantics for instruction followingCode0
On the Loss of Context-awareness in General Instruction Fine-tuningCode0
HalLoc: Token-level Localization of Hallucinations for Vision Language ModelsCode0
Guiding Policies with Language via Meta-LearningCode0
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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