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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 176–200 of 1135 papers

TitleStatusHype
To See is to Believe: Prompting GPT-4V for Better Visual Instruction TuningCode2
LLaVA-Plus: Learning to Use Tools for Creating Multimodal AgentsCode2
PhoGPT: Generative Pre-training for VietnameseCode2
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free LunchCode2
LLark: A Multimodal Instruction-Following Language Model for MusicCode2
Reformulating Vision-Language Foundation Models and Datasets Towards Universal Multimodal AssistantsCode2
ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with Modular QuantizersCode2
MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language ModelsCode2
Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction FollowingCode2
LLaSM: Large Language and Speech ModelCode2
From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction TuningCode2
EcomGPT: Instruction-tuning Large Language Models with Chain-of-Task Tasks for E-commerceCode2
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language ModelsCode2
Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative InstructionsCode2
Zhongjing: Enhancing the Chinese Medical Capabilities of Large Language Model through Expert Feedback and Real-world Multi-turn DialogueCode2
FLASK: Fine-grained Language Model Evaluation based on Alignment Skill SetsCode2
BuboGPT: Enabling Visual Grounding in Multi-Modal LLMsCode2
What Matters in Training a GPT4-Style Language Model with Multimodal Inputs?Code2
LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image UnderstandingCode2
BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language ModelsCode2
LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language ModelsCode2
MiniLLM: Knowledge Distillation of Large Language ModelsCode2
Valley: Video Assistant with Large Language model Enhanced abilitYCode2
STEVE-1: A Generative Model for Text-to-Behavior in MinecraftCode2
GPT4Tools: Teaching Large Language Model to Use Tools via Self-instructionCode2
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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