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 351–400 of 1135 papers

TitleStatusHype
PrefixKV: Adaptive Prefix KV Cache is What Vision Instruction-Following Models Need for Efficient GenerationCode1
ChatBug: A Common Vulnerability of Aligned LLMs Induced by Chat TemplatesCode1
LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and GenerationCode1
Evaluating LLMs at Detecting Errors in LLM ResponsesCode1
Evaluating Large Language Models at Evaluating Instruction FollowingCode1
LLaSA: A Multimodal LLM for Human Activity Analysis Through Wearable and Smartphone SensorsCode1
AGENTIF: Benchmarking Instruction Following of Large Language Models in Agentic ScenariosCode1
Evaluating Correctness and Faithfulness of Instruction-Following Models for Question AnsweringCode1
ChartInstruct: Instruction Tuning for Chart Comprehension and ReasoningCode1
DocLens: Multi-aspect Fine-grained Evaluation for Medical Text GenerationCode1
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
LIONs: An Empirically Optimized Approach to Align Language ModelsCode1
Natural Language Embedded Programs for Hybrid Language Symbolic ReasoningCode1
Enhancing Cross-Tokenizer Knowledge Distillation with Contextual Dynamical MappingCode1
CB2: Collaborative Natural Language Interaction Research PlatformCode1
LLaMo: Large Language Model-based Molecular Graph AssistantCode1
LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMsCode1
Combining Modular Skills in Multitask LearningCode1
On the Exploitability of Instruction TuningCode1
Engineering flexible machine learning systems by traversing functionally-invariant pathsCode1
Lexicon Learning for Few-Shot Neural Sequence ModelingCode1
Are Emergent Abilities in Large Language Models just In-Context Learning?Code1
Lexicon Learning for Few Shot Sequence ModelingCode1
MergeBench: A Benchmark for Merging Domain-Specialized LLMsCode1
Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated FlightCode1
Large Language Models as Evaluators for Recommendation ExplanationsCode1
A Recipe For Building a Compliant Real Estate ChatbotCode1
Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small ScorerCode1
PathAsst: A Generative Foundation AI Assistant Towards Artificial General Intelligence of PathologyCode1
LASeR: Learning to Adaptively Select Reward Models with Multi-Armed BanditsCode1
Language Imbalance Driven Rewarding for Multilingual Self-improvingCode1
Adversarial Paraphrasing: A Universal Attack for Humanizing AI-Generated TextCode1
Efficient Inference of Vision Instruction-Following Models with Elastic CacheCode1
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
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
Hybrid Alignment Training for Large Language 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
INSTRUCTIR: A Benchmark for Instruction Following of Information Retrieval ModelsCode1
An In-depth Look at Gemini's Language AbilitiesCode1
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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