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 851–875 of 1135 papers

TitleStatusHype
Reminding Multimodal Large Language Models of Object-aware Knowledge with Retrieved Tags—0
DiscreteSLU: A Large Language Model with Self-Supervised Discrete Speech Units for Spoken Language Understanding—0
Comparison Visual Instruction Tuning—0
Mimicking User Data: On Mitigating Fine-Tuning Risks in Closed Large Language Models—0
FaceGPT: Self-supervised Learning to Chat about 3D Human Faces—0
CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent CooperationCode0
3D-Properties: Identifying Challenges in DPO and Charting a Path Forward—0
OPTune: Efficient Online Preference Tuning—0
Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning—0
Synthetic Programming Elicitation for Text-to-Code in Very Low-Resource Programming and Formal LanguagesCode0
Adversarial Moment-Matching Distillation of Large Language ModelsCode0
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
TS-Align: A Teacher-Student Collaborative Framework for Scalable Iterative Finetuning of Large Language Models—0
Nadine: An LLM-driven Intelligent Social Robot with Affective Capabilities and Human-like Memory—0
InstructionCP: A fast approach to transfer Large Language Models into target language—0
SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation—0
X-Instruction: Aligning Language Model in Low-resource Languages with Self-curated Cross-lingual InstructionsCode0
BLSP-KD: Bootstrapping Language-Speech Pre-training via Knowledge Distillation—0
X-VILA: Cross-Modality Alignment for Large Language Model—0
Empowering Source-Free Domain Adaptation with MLLM-driven Curriculum LearningCode0
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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