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 521–530 of 1135 papers

TitleStatusHype
Less is More: Generating Grounded Navigation Instructions from Landmarks—0
Leveraging Importance Sampling to Detach Alignment Modules from Large Language Models—0
How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment—0
Balancing Continuous Pre-Training and Instruction Fine-Tuning: Optimizing Instruction-Following in LLMs—0
HelpSteer3-Preference: Open Human-Annotated Preference Data across Diverse Tasks and Languages—0
Holistic Capability Preservation: Towards Compact Yet Comprehensive Reasoning Models—0
Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models—0
Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following—0
Preference Consistency Matters: Enhancing Preference Learning in Language Models with Automated Self-Curation of Training Corpora—0
Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval—0
Show:102550
← PrevPage 53 of 114Next →

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