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 951–975 of 1135 papers

TitleStatusHype
Multi-Query Focused Disaster Summarization via Instruction-Based Prompting—0
Policy Improvement using Language Feedback ModelsCode0
Investigating the Impact of Data Contamination of Large Language Models in Text-to-SQL Translation—0
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs—0
Nevermind: Instruction Override and Moderation in Large Language Models—0
Vision-Language Models Provide Promptable Representations for Reinforcement Learning—0
Diversity Measurement and Subset Selection for Instruction Tuning Datasets—0
IndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias IndicatorsCode0
Instruction Makes a DifferenceCode0
Mitigating the Influence of Distractor Tasks in LMs with Prior-Aware Decoding—0
Taking Action Towards Graceful Interaction: The Effects of Performing Actions on Modelling Policies for Instruction Clarification RequestsCode0
KAUCUS: Knowledge Augmented User Simulators for Training Language Model Assistants—0
AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents—0
COCO is "ALL'' You Need for Visual Instruction Fine-tuning—0
PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics Capabilities—0
Human-Instruction-Free LLM Self-Alignment with Limited Samples—0
Incorporating Visual Experts to Resolve the Information Loss in Multimodal Large Language Models—0
Multilingual Instruction Tuning With Just a Pinch of Multilinguality—0
SSP: A Simple and Safe automatic Prompt engineering method towards realistic image synthesis on LVM—0
Generate Subgoal Images before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts—0
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision Language Audio and Action—0
Visual Instruction Tuning towards General-Purpose Multimodal Model: A Survey—0
LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding—0
Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning—0
Rethinking the Instruction Quality: LIFT is What You Need—0
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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