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 351400 of 1135 papers

TitleStatusHype
Evaluating Large Language Models at Evaluating Instruction FollowingCode1
INSTRUCTIR: A Benchmark for Instruction Following of Information Retrieval ModelsCode1
AGENTIF: Benchmarking Instruction Following of Large Language Models in Agentic ScenariosCode1
Evaluating Correctness and Faithfulness of Instruction-Following Models for Question AnsweringCode1
Instruction-Guided Visual MaskingCode1
Instruction-Following Agents with Multimodal TransformerCode1
ChartInstruct: Instruction Tuning for Chart Comprehension and ReasoningCode1
DocLens: Multi-aspect Fine-grained Evaluation for Medical Text GenerationCode1
ParroT: Translating during Chat using Large Language Models tuned with Human Translation and FeedbackCode1
PathAsst: A Generative Foundation AI Assistant Towards Artificial General Intelligence of PathologyCode1
Unlocking Reasoning Potential in Large Langauge Models by Scaling Code-form PlanningCode1
Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation SystemsCode1
Fool Your (Vision and) Language Model With Embarrassingly Simple PermutationsCode1
Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated FlightCode1
Instruct and Extract: Instruction Tuning for On-Demand Information ExtractionCode1
InstructionGPT-4: A 200-Instruction Paradigm for Fine-Tuning MiniGPT-4Code1
Enhancing Cross-Tokenizer Knowledge Distillation with Contextual Dynamical MappingCode1
CB2: Collaborative Natural Language Interaction Research PlatformCode1
Personalized Language Modeling from Personalized Human FeedbackCode1
Lexicon Learning for Few-Shot Neural Sequence ModelingCode1
Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse PlanningCode1
Engineering flexible machine learning systems by traversing functionally-invariant pathsCode1
InfMLLM: A Unified Framework for Visual-Language TasksCode1
OphGLM: Training an Ophthalmology Large Language-and-Vision Assistant based on Instructions and DialogueCode1
LIONs: An Empirically Optimized Approach to Align Language ModelsCode1
Are Emergent Abilities in Large Language Models just In-Context Learning?Code1
Infer Human's Intentions Before Following Natural Language InstructionsCode1
MergeBench: A Benchmark for Merging Domain-Specialized LLMsCode1
Inferring Rewards from Language in ContextCode1
Opening up ChatGPT: Tracking openness, transparency, and accountability in instruction-tuned text generatorsCode1
Improving Translation Faithfulness of Large Language Models via Augmenting InstructionsCode1
On the Multi-turn Instruction Following for Conversational Web AgentsCode1
A Recipe For Building a Compliant Real Estate ChatbotCode1
Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small ScorerCode1
Incentivizing Reasoning for Advanced Instruction-Following of Large Language ModelsCode1
Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction FollowingCode1
Adversarial Paraphrasing: A Universal Attack for Humanizing AI-Generated TextCode1
InstructTTSEval: Benchmarking Complex Natural-Language Instruction Following in Text-to-Speech SystemsCode1
Efficient Inference of Vision Instruction-Following Models with Elastic CacheCode1
On the Exploitability of Instruction TuningCode1
Hybrid Alignment Training for Large Language ModelsCode1
IDA-Bench: Evaluating LLMs on Interactive Guided Data AnalysisCode1
Can Language Models Follow Multiple Turns of Entangled Instructions?Code1
LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and GenerationCode1
OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ TasksCode1
EarthMarker: A Visual Prompting Multi-modal Large Language Model for Remote SensingCode1
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
"No, to the Right" -- Online Language Corrections for Robotic Manipulation via Shared AutonomyCode1
NPHardEval4V: A Dynamic Reasoning Benchmark of Multimodal Large Language ModelsCode1
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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