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 251–300 of 1135 papers

TitleStatusHype
Curiosity-Driven Reinforcement Learning from Human FeedbackCode1
FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language ModelsCode1
AllenAct: A Framework for Embodied AI ResearchCode1
Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal ModelsCode1
CrowdSelect: Synthetic Instruction Data Selection with Multi-LLM WisdomCode1
Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank AdaptationCode1
MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn InteractionsCode1
Cross-model Control: Improving Multiple Large Language Models in One-time TrainingCode1
Back to the Future: Towards Explainable Temporal Reasoning with Large Language ModelsCode1
Zero-Shot Compositional Policy Learning via Language GroundingCode1
Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual AwarenessCode1
Aya Dataset: An Open-Access Collection for Multilingual Instruction TuningCode1
Creative Agents: Empowering Agents with Imagination for Creative TasksCode1
LoGU: Long-form Generation with Uncertainty ExpressionsCode1
F-Eval: Assessing Fundamental Abilities with Refined Evaluation MethodsCode1
Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language NavigationCode1
Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMsCode1
LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and GenerationCode1
LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMsCode1
CoPESD: A Multi-Level Surgical Motion Dataset for Training Large Vision-Language Models to Co-Pilot Endoscopic Submucosal DissectionCode1
CoachLM: Automatic Instruction Revisions Improve the Data Quality in LLM Instruction TuningCode1
Contrastive Vision-Language Alignment Makes Efficient Instruction LearnerCode1
Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation ExtractorsCode1
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language ModelsCode1
Context-Aware Planning and Environment-Aware Memory for Instruction Following Embodied AgentsCode1
Constraint Back-translation Improves Complex Instruction Following of Large Language ModelsCode1
LLaSA: A Multimodal LLM for Human Activity Analysis Through Wearable and Smartphone SensorsCode1
Facial Affective Behavior Analysis with Instruction TuningCode1
Extend Model Merging from Fine-Tuned to Pre-Trained Large Language Models via Weight DisentanglementCode1
LLaMo: Large Language Model-based Molecular Graph AssistantCode1
MedQA-CS: Benchmarking Large Language Models Clinical Skills Using an AI-SCE FrameworkCode1
LIONs: An Empirically Optimized Approach to Align Language ModelsCode1
Lexicon Learning for Few Shot Sequence ModelingCode1
Lexicon Learning for Few-Shot Neural Sequence ModelingCode1
Combining Modular Skills in Multitask LearningCode1
Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated FlightCode1
Large Language Models as Evaluators for Recommendation ExplanationsCode1
Unlocking Reasoning Potential in Large Langauge Models by Scaling Code-form PlanningCode1
LASeR: Learning to Adaptively Select Reward Models with Multi-Armed BanditsCode1
CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code GenerationCode1
ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language ModelsCode1
Ex3: Automatic Novel Writing by Extracting, Excelsior and ExpandingCode1
Lana: A Language-Capable Navigator for Instruction Following and GenerationCode1
A Survey on Data Selection for LLM Instruction TuningCode1
Language-Conditioned Reinforcement Learning to Solve Misunderstandings with Action CorrectionsCode1
EventHallusion: Diagnosing Event Hallucinations in Video LLMsCode1
Alexa Arena: A User-Centric Interactive Platform for Embodied AICode1
Language Imbalance Driven Rewarding for Multilingual Self-improvingCode1
BLEUBERI: BLEU is a surprisingly effective reward for instruction followingCode1
Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-TranslationCode1
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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