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 376–400 of 1135 papers

TitleStatusHype
A Recipe For Building a Compliant Real Estate ChatbotCode1
Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small ScorerCode1
Large Language Models as Evaluators for Recommendation ExplanationsCode1
Adversarial Paraphrasing: A Universal Attack for Humanizing AI-Generated TextCode1
ParroT: Translating during Chat using Large Language Models tuned with Human Translation and FeedbackCode1
Language Imbalance Driven Rewarding for Multilingual Self-improvingCode1
Efficient Inference of Vision Instruction-Following Models with Elastic CacheCode1
LASeR: Learning to Adaptively Select Reward Models with Multi-Armed BanditsCode1
Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-TranslationCode1
Can Language Models Follow Multiple Turns of Entangled Instructions?Code1
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language ModelsCode1
EarthMarker: A Visual Prompting Multi-modal Large Language Model for Remote SensingCode1
Jatmo: Prompt Injection Defense by Task-Specific FinetuningCode1
Investigating Instruction Tuning Large Language Models on GraphsCode1
IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code GeneratorsCode1
InsViE-1M: Effective Instruction-based Video Editing with Elaborate Dataset ConstructionCode1
Answer is All You Need: Instruction-following Text Embedding via Answering the QuestionCode1
Context-Aware Planning and Environment-Aware Memory for Instruction Following Embodied AgentsCode1
Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play ApproachCode1
Is In-Context Learning Sufficient for Instruction Following in LLMs?Code1
INSTRUCTIR: A Benchmark for Instruction Following of Information Retrieval ModelsCode1
Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-following LLMCode1
Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation ExtractorsCode1
An In-depth Look at Gemini's Language AbilitiesCode1
InstructTTSEval: Benchmarking Complex Natural-Language Instruction Following in Text-to-Speech SystemsCode1
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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