BEAR: Budgeted Evidence Allocation for Multi-Document Reasoning
Fuente:
arXiv
Saved in:
| Main Authors: | Sun, Lin, Zhang, Linglin, Huang, Jingang, Jia, Change, Cheng, Zhengwei, Zhang, Xiangzheng |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
When Good OCR Is Not Enough: Benchmarking OCR Robustness for Retrieval-Augmented Generation
by: Sun, Lin, et al.
Published: (2026)
by: Sun, Lin, et al.
Published: (2026)
Evaluation is All You Need: Strategic Overclaiming of LLM Reasoning Capabilities Through Evaluation Design
by: Sun, Lin, et al.
Published: (2025)
by: Sun, Lin, et al.
Published: (2025)
SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning
by: Li, Zheng, et al.
Published: (2025)
by: Li, Zheng, et al.
Published: (2025)
Large Language Models Badly Generalize across Option Length, Problem Types, and Irrelevant Noun Replacements
by: Zhao, Guangxiang, et al.
Published: (2025)
by: Zhao, Guangxiang, et al.
Published: (2025)
Beyond Static Alignment: Hierarchical Policy Control for LLM Safety via Risk-Aware Chain-of-Thought
by: Si, Jianfeng, et al.
Published: (2026)
by: Si, Jianfeng, et al.
Published: (2026)
Uncertainty-Aware Budget Allocation for Adaptive Test-Time Reasoning
by: Nguyen, Manh, et al.
Published: (2026)
by: Nguyen, Manh, et al.
Published: (2026)
A Primer in Post-Training Reasoning Data: What We Know About How It Works
by: Li, Yaoming, et al.
Published: (2026)
by: Li, Yaoming, et al.
Published: (2026)
Efficient Switchable Safety Control in LLMs via Magic-Token-Guided Co-Training
by: Si, Jianfeng, et al.
Published: (2025)
by: Si, Jianfeng, et al.
Published: (2025)
Light-IF: Endowing LLMs with Generalizable Reasoning via Preview and Self-Checking for Complex Instruction Following
by: Wang, Chenyang, et al.
Published: (2025)
by: Wang, Chenyang, et al.
Published: (2025)
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation
by: Li, Ziniu, et al.
Published: (2025)
by: Li, Ziniu, et al.
Published: (2025)
TinyR1-32B-Preview: Boosting Accuracy with Branch-Merge Distillation
by: Sun, Lin, et al.
Published: (2025)
by: Sun, Lin, et al.
Published: (2025)
Beyond Reasoning: Reinforcement Learning Unlocks Parametric Knowledge in LLMs
by: Yang, Wanli, et al.
Published: (2026)
by: Yang, Wanli, et al.
Published: (2026)
Chain-of-Thought Matters: Improving Long-Context Language Models with Reasoning Path Supervision
by: Zhu, Dawei, et al.
Published: (2025)
by: Zhu, Dawei, et al.
Published: (2025)
360-LLaMA-Factory: Plug & Play Sequence Parallelism for Long Post-Training
by: Zou, Haosheng, et al.
Published: (2025)
by: Zou, Haosheng, et al.
Published: (2025)
Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies
by: Wang, Junlin, et al.
Published: (2024)
by: Wang, Junlin, et al.
Published: (2024)
OmniRouter: Budget and Performance Controllable Multi-LLM Routing
by: Mei, Kai, et al.
Published: (2025)
by: Mei, Kai, et al.
Published: (2025)
On Time, Within Budget: Constraint-Driven Online Resource Allocation for Agentic Workflows
by: Wang, Xinglin, et al.
Published: (2026)
by: Wang, Xinglin, et al.
Published: (2026)
Multi-Perspective Evidence Synthesis and Reasoning for Unsupervised Multimodal Entity Linking
by: Zhou, Mo, et al.
Published: (2026)
by: Zhou, Mo, et al.
Published: (2026)
Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models
by: Ying, Zonghao, et al.
Published: (2025)
by: Ying, Zonghao, et al.
Published: (2025)
CA-SQL: Complexity-Aware Inference Time Reasoning for Text-to-SQL via Exploration and Compute Budget Allocation
by: Petullo, James, et al.
Published: (2026)
by: Petullo, James, et al.
Published: (2026)
CODA: Difficulty-Aware Compute Allocation for Adaptive Reasoning
by: Wu, Siye, et al.
Published: (2026)
by: Wu, Siye, et al.
Published: (2026)
Budget-Aware Anytime Reasoning with LLM-Synthesized Preference Data
by: Zhang, Xuanming, et al.
Published: (2026)
by: Zhang, Xuanming, et al.
Published: (2026)
STAIR: Improving Safety Alignment with Introspective Reasoning
by: Zhang, Yichi, et al.
Published: (2025)
by: Zhang, Yichi, et al.
Published: (2025)
BEAR: A Unified Framework for Evaluating Relational Knowledge in Causal and Masked Language Models
by: Wiland, Jacek, et al.
Published: (2024)
by: Wiland, Jacek, et al.
Published: (2024)
Optimizing Anytime Reasoning via Budget Relative Policy Optimization
by: Qi, Penghui, et al.
Published: (2025)
by: Qi, Penghui, et al.
Published: (2025)
Exchange of Perspective Prompting Enhances Reasoning in Large Language Models
by: Sun, Lin, et al.
Published: (2025)
by: Sun, Lin, et al.
Published: (2025)
DRQA: Dynamic Reasoning Quota Allocation for Controlling Overthinking in Reasoning Large Language Models
by: Yan, Kaiwen, et al.
Published: (2025)
by: Yan, Kaiwen, et al.
Published: (2025)
PlantMarkerBench: A Multi-Species Benchmark for Evidence-Grounded Plant Marker Reasoning
by: Dip, Sajib Acharjee, et al.
Published: (2026)
by: Dip, Sajib Acharjee, et al.
Published: (2026)
MDCR: A Dataset for Multi-Document Conditional Reasoning
by: Chen, Peter Baile, et al.
Published: (2024)
by: Chen, Peter Baile, et al.
Published: (2024)
Alloc-MoE: Budget-Aware Expert Activation Allocation for Efficient Mixture-of-Experts Inference
by: Liu, Baihui, et al.
Published: (2026)
by: Liu, Baihui, et al.
Published: (2026)
ReCoQA: A Benchmark for Tool-Augmented and Multi-Step Reasoning in Real Estate Question and Answering
by: Zhang, Yindong, et al.
Published: (2026)
by: Zhang, Yindong, et al.
Published: (2026)
Doc-V*:Coarse-to-Fine Interactive Visual Reasoning for Multi-Page Document VQA
by: Zheng, Yuanlei, et al.
Published: (2026)
by: Zheng, Yuanlei, et al.
Published: (2026)
DocDancer: Towards Agentic Document-Grounded Information Seeking
by: Zhang, Qintong, et al.
Published: (2026)
by: Zhang, Qintong, et al.
Published: (2026)
Enhancing Document-Level Question Answering via Multi-Hop Retrieval-Augmented Generation with LLaMA 3
by: Huang, Xinyue, et al.
Published: (2025)
by: Huang, Xinyue, et al.
Published: (2025)
Hierarchical Budget Policy Optimization for Adaptive Reasoning
by: Lyu, Shangke, et al.
Published: (2025)
by: Lyu, Shangke, et al.
Published: (2025)
Exploring Efficiency Frontiers of Thinking Budget in Medical Reasoning: Scaling Laws between Computational Resources and Reasoning Quality
by: Bi, Ziqian, et al.
Published: (2025)
by: Bi, Ziqian, et al.
Published: (2025)
BRIDGE: Benchmark for multi-hop Reasoning In long multimodal Documents with Grounded Evidence
by: Xiang, Biao, et al.
Published: (2026)
by: Xiang, Biao, et al.
Published: (2026)
Capability-Guided Compression: Toward Interpretability-Aware Budget Allocation for Large Language Models
by: Gupta, Rishaank
Published: (2026)
by: Gupta, Rishaank
Published: (2026)
Augmenting Document-level Relation Extraction with Efficient Multi-Supervision
by: Lin, Xiangyu, et al.
Published: (2024)
by: Lin, Xiangyu, et al.
Published: (2024)
Certainty-Guided Reasoning in Large Language Models: A Dynamic Thinking Budget Approach
by: Nogueira, João Paulo, et al.
Published: (2025)
by: Nogueira, João Paulo, et al.
Published: (2025)
Similar Items
-
When Good OCR Is Not Enough: Benchmarking OCR Robustness for Retrieval-Augmented Generation
by: Sun, Lin, et al.
Published: (2026) -
Evaluation is All You Need: Strategic Overclaiming of LLM Reasoning Capabilities Through Evaluation Design
by: Sun, Lin, et al.
Published: (2025) -
SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning
by: Li, Zheng, et al.
Published: (2025) -
Large Language Models Badly Generalize across Option Length, Problem Types, and Irrelevant Noun Replacements
by: Zhao, Guangxiang, et al.
Published: (2025) -
Beyond Static Alignment: Hierarchical Policy Control for LLM Safety via Risk-Aware Chain-of-Thought
by: Si, Jianfeng, et al.
Published: (2026)