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 691–700 of 1135 papers

TitleStatusHype
On Instruction-Finetuning Neural Machine Translation Models—0
Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training—0
TypeScore: A Text Fidelity Metric for Text-to-Image Generative Models—0
UAV-VLN: End-to-End Vision Language guided Navigation for UAVs—0
UFT: Unifying Fine-Tuning of SFT and RLHF/DPO/UNA through a Generalized Implicit Reward Function—0
On the Mechanism of Reasoning Pattern Selection in Reinforcement Learning for Language Models—0
UGIF: UI Grounded Instruction Following—0
BioMistral-NLU: Towards More Generalizable Medical Language Understanding through Instruction Tuning—0
XIFBench: Evaluating Large Language Models on Multilingual Instruction Following—0
OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignment—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