TEMPS: Temporal Sentence Embeddings for Temporal Information Retrieval

arXiv:2609.28048 · cs.CL, cs.AI · Submitted 2026-09-23 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-09-23

Updated: 2026-09-23

Code: https://github.com/aldebaran-care/TEMPS

Terminology

• Benchmark — 42× in this paper · explained in 2 episodes
• Embeddings — 21× in this paper · explained in 2 episodes
• Information Retrieval — 17× in this paper
• RAG — 15× in this paper · explained in 3 episodes
• Grounding — 13× in this paper · explained in 3 episodes
• Alignment — 7× in this paper · explained in 1 episode
• Temporal Information Retrieval — 6× in this paper
• Temporal Reasoning — 6× in this paper · explained in 2 episodes
• Adam — 5× in this paper · explained in 2 episodes
• Retrieval-Augmented Generation — 5× in this paper
• Semantic Textual Similarity — 5× in this paper
• Ablation — 4× in this paper · explained in 1 episode
• Accuracy — 3× in this paper · explained in 1 episode
• Contrastive Learning — 3× in this paper · explained in 5 episodes
• Cosine Similarity — 3× in this paper · explained in 3 episodes
• Knowledge Graph — 3× in this paper · explained in 7 episodes
• Temporal Textual Similarity — 3× in this paper
• Transformer — 3× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Distillation — 2× in this paper · explained in 2 episodes
• European Language Resources Association — 2× in this paper
• Knowledge graphs — 2× in this paper · explained in 2 episodes
• Model-Agnostic — 2× in this paper · explained in 2 episodes
• Retrieval-Augmented Generation (RAG) — 2× in this paper · explained in 16 episodes
• Semantic Similarity — 2× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Degeneracy — 1× in this paper · explained in 3 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Model Merging — 1× in this paper · explained in 2 episodes
• Modularity — 1× in this paper · explained in 9 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Temporal Embedding Model for Precise Search — 1× in this paper
• alpha — 1× in this paper · explained in 1 episode

Sources

• A Dataset for Answering Time-Sensitive Questions
• ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
• Massively Increasing TIMEX3 Resources: A Transduction Approach
• SimCSE: Simple Contrastive Learning of Sentence Embeddings
• Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents
• Unsupervised Dense Information Retrieval with Contrastive Learning
• Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models
• Word Representations via Gaussian Embedding
• Text Embeddings by Weakly-Supervised Contrastive Pre-training
• Qwen2.5 Technical Report

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