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 711–720 of 1135 papers

TitleStatusHype
Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding—0
Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding—0
Learning to Navigate the Web—0
LearnLM: Improving Gemini for Learning—0
Length Controlled Generation for Black-box LLMs—0
Preference Consistency Matters: Enhancing Preference Learning in Language Models with Automated Self-Curation of Training Corpora—0
Less is More: Generating Grounded Navigation Instructions from Landmarks—0
Compositional Subspace Representation Fine-tuning for Adaptive Large Language Models—0
Leveraging Importance Sampling to Detach Alignment Modules from Large Language Models—0
Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval—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