Test-Time Compute for Frozen Embedding Models through Agentic Program Search

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Xiao, Han
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Computation and Language Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents
by: Zhang, Weizhi, et al.
Published: (2025)

Rank1: Test-Time Compute for Reranking in Information Retrieval
by: Weller, Orion, et al.
Published: (2025)

TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency
by: Zou, Henry Peng, et al.
Published: (2025)

Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG Training
by: Xia, Tianle, et al.
Published: (2026)

Task-Adaptive Embedding Refinement via Test-time LLM Guidance
by: Gera, Ariel, et al.
Published: (2026)

Search Arena: Analyzing Search-Augmented LLMs
by: Miroyan, Mihran, et al.
Published: (2025)

Federated Learning for ICD Classification with Lightweight Models and Pretrained Embeddings
by: Xu, Binbin, et al.
Published: (2025)

LEAF: Knowledge Distillation of Text Embedding Models with Teacher-Aligned Representations
by: Vujanic, Robin, et al.
Published: (2025)

FlashEvaluator: Expanding Search Space with Parallel Evaluation
by: Feng, Chao, et al.
Published: (2026)

Open Deep Search: Democratizing Search with Open-source Reasoning Agents
by: Alzubi, Salaheddin, et al.
Published: (2025)

Diffusion-Pretrained Dense and Contextual Embeddings
by: Eslami, Sedigheh, et al.
Published: (2026)

On the Theoretical Limitations of Embedding-Based Retrieval
by: Weller, Orion, et al.
Published: (2025)

Relevance Isn't All You Need: Scaling RAG Systems With Inference-Time Compute Via Multi-Criteria Reranking
by: LeVine, Will, et al.
Published: (2025)

From Topology to Retrieval: Decoding Embedding Spaces with Unified Signatures
by: Rottach, Florian, et al.
Published: (2025)

MTEB-French: Resources for French Sentence Embedding Evaluation and Analysis
by: Ciancone, Mathieu, et al.
Published: (2024)

FaMTEB: Massive Text Embedding Benchmark in Persian Language
by: Zinvandi, Erfan, et al.
Published: (2025)

Arctic-Embed 2.0: Multilingual Retrieval Without Compromise
by: Yu, Puxuan, et al.
Published: (2024)

SetCSE: Set Operations using Contrastive Learning of Sentence Embeddings
by: Liu, Kang
Published: (2024)

Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction
by: Takamoto, Makoto, et al.
Published: (2025)

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
by: Lee, Chankyu, et al.
Published: (2024)

Evaluating Cost-Accuracy Trade-offs in Multimodal Search Relevance Judgements
by: Terragni, Silvia, et al.
Published: (2024)

SemCSE: Semantic Contrastive Sentence Embeddings Using LLM-Generated Summaries For Scientific Abstracts
by: Brinner, Marc, et al.
Published: (2025)

A Dynamic Framework for Semantic Grouping of Common Data Elements (CDE) Using Embeddings and Clustering
by: Krishnamurthy, Madan, et al.
Published: (2025)

Beyond Sequential Reranking: Reranker-Guided Search Improves Reasoning Intensive Retrieval
by: Xu, Haike, et al.
Published: (2025)

LiveNewsBench: Evaluating LLM Web Search Capabilities with Freshly Curated News
by: Zhang, Yunfan, et al.
Published: (2026)

Integrating Large Language Models with Graphical Session-Based Recommendation
by: Guo, Naicheng, et al.
Published: (2024)

User Embedding Model for Personalized Language Prompting
by: Doddapaneni, Sumanth, et al.
Published: (2024)

NLP-Powered Repository and Search Engine for Academic Papers: A Case Study on Cyber Risk Literature with CyLit
by: Zhang, Linfeng, et al.
Published: (2024)

SLMRec: Distilling Large Language Models into Small for Sequential Recommendation
by: Xu, Wujiang, et al.
Published: (2024)

Can Small Language Models be Good Reasoners for Sequential Recommendation?
by: Wang, Yuling, et al.
Published: (2024)

Agentic Entropy-Balanced Policy Optimization
by: Dong, Guanting, et al.
Published: (2025)

Language Models As Semantic Indexers
by: Jin, Bowen, et al.
Published: (2023)

Optimize Incompatible Parameters through Compatibility-aware Knowledge Integration
by: Lv, Zheqi, et al.
Published: (2025)

DiffETM: Diffusion Process Enhanced Embedded Topic Model
by: Shao, Wei, et al.
Published: (2025)

General Agentic Memory Via Deep Research
by: Yan, B. Y., et al.
Published: (2025)

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs
by: Jin, Bowen, et al.
Published: (2024)

LORE: A Large Generative Model for Search Relevance
by: Lu, Chenji, et al.
Published: (2025)

Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization
by: Zamani, Hamed, et al.
Published: (2024)

Agentic-R: Learning to Retrieve for Agentic Search
by: Liu, Wenhan, et al.
Published: (2026)

AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction
by: Feng, Jie, et al.
Published: (2024)