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 1051–1060 of 1135 papers

TitleStatusHype
Cuckoo: An IE Free Rider Hatched by Massive Nutrition in LLM's NestCode0
Alignment-based compositional semantics for instruction followingCode0
Iterative Label Refinement Matters More than Preference Optimization under Weak SupervisionCode0
From Loops to Oops: Fallback Behaviors of Language Models Under UncertaintyCode0
On the Loss of Context-awareness in General Instruction Fine-tuningCode0
IWISDM: Assessing instruction following in multimodal models at scaleCode0
CS4: Measuring the Creativity of Large Language Models Automatically by Controlling the Number of Story-Writing ConstraintsCode0
Cross-lingual Transfer of Reward Models in Multilingual AlignmentCode0
Mapping Instructions to Actions in 3D Environments with Visual Goal PredictionCode0
Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation PredictionCode0
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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