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 601–625 of 1135 papers

TitleStatusHype
Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play ApproachCode1
Adversarial Moment-Matching Distillation of Large Language ModelsCode0
Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning—0
Scalable Ensembling For Mitigating Reward Overoptimisation—0
LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models—0
Phased Instruction Fine-Tuning for Large Language ModelsCode0
clembench-2024: A Challenging, Dynamic, Complementary, Multilingual Benchmark and Underlying Flexible Framework for LLMs as Multi-Action Agents—0
Improving Reward Models with Synthetic Critiques—0
Joint Embeddings for Graph Instruction Tuning—0
SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation—0
TS-Align: A Teacher-Student Collaborative Framework for Scalable Iterative Finetuning of Large Language Models—0
X-Instruction: Aligning Language Model in Low-resource Languages with Self-curated Cross-lingual InstructionsCode0
Nadine: An LLM-driven Intelligent Social Robot with Affective Capabilities and Human-like Memory—0
Instruction-Guided Visual MaskingCode1
Is In-Context Learning Sufficient for Instruction Following in LLMs?Code1
InstructionCP: A fast approach to transfer Large Language Models into target language—0
AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source DataCode1
X-VILA: Cross-Modality Alignment for Large Language Model—0
MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn InteractionsCode1
BLSP-KD: Bootstrapping Language-Speech Pre-training via Knowledge Distillation—0
Weak-to-Strong Search: Align Large Language Models via Searching over Small Language ModelsCode2
Self-Exploring Language Models: Active Preference Elicitation for Online AlignmentCode2
Empowering Source-Free Domain Adaptation with MLLM-driven Curriculum LearningCode0
Self-Corrected Multimodal Large Language Model for End-to-End Robot Manipulation—0
PromptFix: You Prompt and We Fix the PhotoCode4
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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