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

Showing 511520 of 1135 papers

TitleStatusHype
NatSGLD: A Dataset with Speech, Gesture, Logic, and Demonstration for Robot Learning in Natural Human-Robot InteractionCode0
Compositional Image Retrieval via Instruction-Aware Contrastive LearningCode0
MpoxVLM: A Vision-Language Model for Diagnosing Skin Lesions from Mpox Virus InfectionCode0
Aligners: Decoupling LLMs and AlignmentCode0
From MTEB to MTOB: Retrieval-Augmented Classification for Descriptive GrammarsCode0
Monolingual or Multilingual Instruction Tuning: Which Makes a Better AlpacaCode0
Multi-Level Compositional Reasoning for Interactive Instruction FollowingCode0
From Loops to Oops: Fallback Behaviors of Language Models Under UncertaintyCode0
CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data PartitionsCode0
MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document RetrievalCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoIF (Llama3 70B)Inst-level loose-accuracy90.4Unverified
2AutoIF (Qwen2 72B)Inst-level loose-accuracy88Unverified
3GPT-4Inst-level loose-accuracy85.37Unverified
4PaLM 2 SInst-level loose-accuracy59.11Unverified