LiTS: A Modular Framework for LLM Tree Search
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Xinzhe, Tao, Yaguang |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
When Does Memory Help Multi-Trajectory Inference for Tool-Use LLM Agents?
by: Li, Xinzhe, et al.
Published: (2026)
by: Li, Xinzhe, et al.
Published: (2026)
A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks
by: Li, Xinzhe
Published: (2025)
by: Li, Xinzhe
Published: (2025)
Chain-in-Tree: Back to Sequential Reasoning in LLM Tree Search
by: Li, Xinzhe
Published: (2025)
by: Li, Xinzhe
Published: (2025)
A Review of Prominent Paradigms for LLM-Based Agents: Tool Use (Including RAG), Planning, and Feedback Learning
by: Li, Xinzhe
Published: (2024)
by: Li, Xinzhe
Published: (2024)
GRAMMAR: Grounded and Modular Methodology for Assessment of Closed-Domain Retrieval-Augmented Language Model
by: Li, Xinzhe, et al.
Published: (2024)
by: Li, Xinzhe, et al.
Published: (2024)
A Concurrent Modular Agent: Framework for Autonomous LLM Agents
by: Maruyama, Norihiro, et al.
Published: (2025)
by: Maruyama, Norihiro, et al.
Published: (2025)
S3TS: Stochastic Scenario-Structured Tree Search for Advanced Planning Under Uncertainty
by: Pavirani, Fabio, et al.
Published: (2026)
by: Pavirani, Fabio, et al.
Published: (2026)
Dynamic Parallel Tree Search for Efficient LLM Reasoning
by: Ding, Yifu, et al.
Published: (2025)
by: Ding, Yifu, et al.
Published: (2025)
TS-Reasoner: Aligning Time Series Foundation Models with LLM Reasoning
by: Yu, Fangxu, et al.
Published: (2025)
by: Yu, Fangxu, et al.
Published: (2025)
Policy Guided Tree Search for Enhanced LLM Reasoning
by: Li, Yang
Published: (2025)
by: Li, Yang
Published: (2025)
Sonar-TS: Search-Then-Verify Natural Language Querying for Time Series Databases
by: Tan, Zhao, et al.
Published: (2026)
by: Tan, Zhao, et al.
Published: (2026)
CALM: A CKA-Guided Adaptive Layer-Wise Modularization Framework for LLM Quantization
by: Zhang, Jinhao, et al.
Published: (2025)
by: Zhang, Jinhao, et al.
Published: (2025)
AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents
by: Gioacchini, Luca, et al.
Published: (2024)
by: Gioacchini, Luca, et al.
Published: (2024)
Harmony: A Unified Framework for Modality Incremental Learning
by: Song, Yaguang, et al.
Published: (2025)
by: Song, Yaguang, et al.
Published: (2025)
HunyuanProver: A Scalable Data Synthesis Framework and Guided Tree Search for Automated Theorem Proving
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, et al.
Published: (2024)
DRC-Coder: Automated DRC Checker Code Generation Using LLM Autonomous Agent
by: Chang, Chen-Chia, et al.
Published: (2024)
by: Chang, Chen-Chia, et al.
Published: (2024)
FLAIRR-TS -- Forecasting LLM-Agents with Iterative Refinement and Retrieval for Time Series
by: Jalori, Gunjan, et al.
Published: (2025)
by: Jalori, Gunjan, et al.
Published: (2025)
TrajLLM: A Modular LLM-Enhanced Agent-Based Framework for Realistic Human Trajectory Simulation
by: Ju, Chenlu, et al.
Published: (2025)
by: Ju, Chenlu, et al.
Published: (2025)
Beyond Chemical QA: Evaluating LLM's Chemical Reasoning with Modular Chemical Operations
by: Li, Hao, et al.
Published: (2025)
by: Li, Hao, et al.
Published: (2025)
MemEngine: A Unified and Modular Library for Developing Advanced Memory of LLM-based Agents
by: Zhang, Zeyu, et al.
Published: (2025)
by: Zhang, Zeyu, et al.
Published: (2025)
Cost-Awareness in Tree-Search LLM Planning: A Systematic Study
by: Zhang, Zihao, et al.
Published: (2025)
by: Zhang, Zihao, et al.
Published: (2025)
AI-SearchPlanner: Modular Agentic Search via Pareto-Optimal Multi-Objective Reinforcement Learning
by: Mei, Lang, et al.
Published: (2025)
by: Mei, Lang, et al.
Published: (2025)
Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning
by: Chen, Sixing, et al.
Published: (2026)
by: Chen, Sixing, et al.
Published: (2026)
Explicit Uncertainty Modeling for Active CLIP Adaptation with Dual Prompt Tuning
by: Wang, Qian-Wei, et al.
Published: (2026)
by: Wang, Qian-Wei, et al.
Published: (2026)
Bridging Weakly-Supervised Learning and VLM Distillation: Noisy Partial Label Learning for Efficient Downstream Adaptation
by: Wang, Qian-Wei, et al.
Published: (2025)
by: Wang, Qian-Wei, et al.
Published: (2025)
Orcheo: A Modular Full-Stack Platform for Conversational Search
by: Jiang, Shaojie, et al.
Published: (2026)
by: Jiang, Shaojie, et al.
Published: (2026)
Inference-Time Budget Control for LLM Search Agents
by: Fang, Zhengru, et al.
Published: (2026)
by: Fang, Zhengru, et al.
Published: (2026)
VLAA-GUI: Knowing When to Stop, Recover, and Search, A Modular Framework for GUI Automation
by: Han, Qijun, et al.
Published: (2026)
by: Han, Qijun, et al.
Published: (2026)
AltTS: A Dual-Path Framework with Alternating Optimization for Multivariate Time Series Forecasting
by: Yuan, Zhihang, et al.
Published: (2026)
by: Yuan, Zhihang, et al.
Published: (2026)
LiteSearch: Efficacious Tree Search for LLM
by: Wang, Ante, et al.
Published: (2024)
by: Wang, Ante, et al.
Published: (2024)
AdversariaLLM: A Unified and Modular Toolbox for LLM Robustness Research
by: Beyer, Tim, et al.
Published: (2025)
by: Beyer, Tim, et al.
Published: (2025)
OptiTree: Hierarchical Thoughts Generation with Tree Search for LLM Optimization Modeling
by: Liu, Haoyang, et al.
Published: (2025)
by: Liu, Haoyang, et al.
Published: (2025)
InterReal: A Unified Physics-Based Imitation Framework for Learning Human-Object Interaction Skills
by: Liang, Dayang, et al.
Published: (2026)
by: Liang, Dayang, et al.
Published: (2026)
AffectEval: A Modular and Customizable Framework for Affective Computing
by: Zhou, Emily, et al.
Published: (2025)
by: Zhou, Emily, et al.
Published: (2025)
Skill Weaving: Efficient LLM Improvement via Modular Skillpacks
by: Li, Zhuo, et al.
Published: (2026)
by: Li, Zhuo, et al.
Published: (2026)
A Modular Dataset to Demonstrate LLM Abstraction Capability
by: Atanas, Adam, et al.
Published: (2025)
by: Atanas, Adam, et al.
Published: (2025)
Tree Search for LLM Agent Reinforcement Learning
by: Ji, Yuxiang, et al.
Published: (2025)
by: Ji, Yuxiang, et al.
Published: (2025)
Beyond pass@1: A Reliability Science Framework for Long-Horizon LLM Agents
by: Khanal, Aaditya, et al.
Published: (2026)
by: Khanal, Aaditya, et al.
Published: (2026)
RELATE: A Reinforcement Learning-Enhanced LLM Framework for Advertising Text Generation
by: Wang, Jinfang, et al.
Published: (2026)
by: Wang, Jinfang, et al.
Published: (2026)
LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories
by: Kang, Liwei, et al.
Published: (2026)
by: Kang, Liwei, et al.
Published: (2026)
Similar Items
-
When Does Memory Help Multi-Trajectory Inference for Tool-Use LLM Agents?
by: Li, Xinzhe, et al.
Published: (2026) -
A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks
by: Li, Xinzhe
Published: (2025) -
Chain-in-Tree: Back to Sequential Reasoning in LLM Tree Search
by: Li, Xinzhe
Published: (2025) -
A Review of Prominent Paradigms for LLM-Based Agents: Tool Use (Including RAG), Planning, and Feedback Learning
by: Li, Xinzhe
Published: (2024) -
GRAMMAR: Grounded and Modular Methodology for Assessment of Closed-Domain Retrieval-Augmented Language Model
by: Li, Xinzhe, et al.
Published: (2024)