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 681–690 of 1135 papers

TitleStatusHype
LITA: Language Instructed Temporal-Localization AssistantCode2
RL for Consistency Models: Faster Reward Guided Text-to-Image Generation—0
FlashFace: Human Image Personalization with High-fidelity Identity PreservationCode3
InstUPR : Instruction-based Unsupervised Passage Reranking with Large Language ModelsCode0
Argument Quality Assessment in the Age of Instruction-Following Large Language Models—0
WangchanLion and WangchanX MRC EvalCode0
Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoning—0
Building Accurate Translation-Tailored LLMs with Language Aware Instruction TuningCode0
Improving the Robustness of Large Language Models via Consistency Alignment—0
MMIDR: Teaching Large Language Model to Interpret Multimodal Misinformation via Knowledge DistillationCode1
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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