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 201–210 of 1135 papers

TitleStatusHype
Ground-level Viewpoint Vision-and-Language Navigation in Continuous Environments—0
TextGames: Learning to Self-Play Text-Based Puzzle Games via Language Model ReasoningCode0
Rank1: Test-Time Compute for Reranking in Information RetrievalCode2
URO-Bench: A Comprehensive Benchmark for End-to-End Spoken Dialogue Models—0
UrduLLaMA 1.0: Dataset Curation, Preprocessing, and Evaluation in Low-Resource Settings—0
ATEB: Evaluating and Improving Advanced NLP Tasks for Text Embedding Models—0
Order Matters: Investigate the Position Bias in Multi-constraint Instruction FollowingCode0
Capability Instruction Tuning: A New Paradigm for Dynamic LLM RoutingCode0
Sequence-level Large Language Model Training with Contrastive Preference Optimization—0
NatSGLD: A Dataset with Speech, Gesture, Logic, and Demonstration for Robot Learning in Natural Human-Robot InteractionCode0
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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