Saved in:
| Main Authors: | Qiu, Wentao, Luo, Guanran, Jian, Zhongquan, Gao, Jingqi, Wang, Meihong, Wu, Qingqiang |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.10328 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DTCRS: Dynamic Tree Construction for Recursive Summarization
by: Luo, Guanran, et al.
Published: (2026)
by: Luo, Guanran, et al.
Published: (2026)
GCoT-Decoding: Unlocking Deep Reasoning Paths for Universal Question Answering
by: Luo, Guanran, et al.
Published: (2026)
by: Luo, Guanran, et al.
Published: (2026)
AGSC: Adaptive Granularity and Semantic Clustering for Uncertainty Quantification in Long-text Generation
by: Luo, Guanran, et al.
Published: (2026)
by: Luo, Guanran, et al.
Published: (2026)
Abductive Reasoning with Syllogistic Forms in Large Language Models
by: Abe, Hirohiko, et al.
Published: (2026)
by: Abe, Hirohiko, et al.
Published: (2026)
Abductive Inference in Retrieval-Augmented Language Models: Generating and Validating Missing Premises
by: Lin, Shiyin
Published: (2025)
by: Lin, Shiyin
Published: (2025)
Making Large Language Models Better Reasoners with Orchestrated Streaming Experiences
by: Liu, Xiangyang, et al.
Published: (2025)
by: Liu, Xiangyang, et al.
Published: (2025)
Incoherent Probability Judgments in Large Language Models
by: Zhu, Jian-Qiao, et al.
Published: (2024)
by: Zhu, Jian-Qiao, et al.
Published: (2024)
The Lay Person's Guide to Biomedicine: Orchestrating Large Language Models
by: Luo, Zheheng, et al.
Published: (2024)
by: Luo, Zheheng, et al.
Published: (2024)
Training-Free Multimodal Large Language Model Orchestration
by: Xie, Tianyu, et al.
Published: (2025)
by: Xie, Tianyu, et al.
Published: (2025)
SemEval-2026 Task 12: Abductive Event Reasoning: Towards Real-World Event Causal Inference for Large Language Models
by: Cao, Pengfei, et al.
Published: (2026)
by: Cao, Pengfei, et al.
Published: (2026)
Maestro: Reinforcement Learning to Orchestrate Hierarchical Model-Skill Ensembles
by: Wu, Jinyang, et al.
Published: (2026)
by: Wu, Jinyang, et al.
Published: (2026)
LogiDynamics: Unraveling the Dynamics of Inductive, Abductive and Deductive Logical Inferences in LLM Reasoning
by: Zheng, Tianshi, et al.
Published: (2025)
by: Zheng, Tianshi, et al.
Published: (2025)
ANCHOR: LLM-driven Subject Conditioning for Text-to-Image Synthesis
by: Ramakrishnan, Aashish Anantha, et al.
Published: (2024)
by: Ramakrishnan, Aashish Anantha, et al.
Published: (2024)
NeSTR: A Neuro-Symbolic Abductive Framework for Temporal Reasoning in Large Language Models
by: Liang, Feng, et al.
Published: (2025)
by: Liang, Feng, et al.
Published: (2025)
Beyond Probabilities: Unveiling the Misalignment in Evaluating Large Language Models
by: Lyu, Chenyang, et al.
Published: (2024)
by: Lyu, Chenyang, et al.
Published: (2024)
Towards Reliable Large Audio Language Model
by: Ma, Ziyang, et al.
Published: (2025)
by: Ma, Ziyang, et al.
Published: (2025)
Kuaiji: the First Chinese Accounting Large Language Model
by: Luo, Jiayuan, et al.
Published: (2024)
by: Luo, Jiayuan, et al.
Published: (2024)
Calibrating Verbalized Probabilities for Large Language Models
by: Wang, Cheng, et al.
Published: (2024)
by: Wang, Cheng, et al.
Published: (2024)
Probability Consistency in Large Language Models: Theoretical Foundations Meet Empirical Discrepancies
by: Luo, Xiaoliang, et al.
Published: (2025)
by: Luo, Xiaoliang, et al.
Published: (2025)
What Kind of Reasoning (if any) is an LLM actually doing? On the Stochastic Nature and Abductive Appearance of Large Language Models
by: Floridi, Luciano, et al.
Published: (2025)
by: Floridi, Luciano, et al.
Published: (2025)
ReliableMath: Benchmark of Reliable Mathematical Reasoning on Large Language Models
by: Xue, Boyang, et al.
Published: (2025)
by: Xue, Boyang, et al.
Published: (2025)
Rephrase and Contrast: Fine-Tuning Language Models for Enhanced Understanding of Communication and Computer Networks
by: Wang, Liujianfu, et al.
Published: (2024)
by: Wang, Liujianfu, et al.
Published: (2024)
Inference-Cost-Aware Dynamic Tree Construction for Efficient Inference in Large Language Models
by: Hong, Yinrong, et al.
Published: (2025)
by: Hong, Yinrong, et al.
Published: (2025)
Recovering Event Probabilities from Large Language Model Embeddings via Axiomatic Constraints
by: Zhu, Jian-Qiao, et al.
Published: (2025)
by: Zhu, Jian-Qiao, et al.
Published: (2025)
CEQuest: Benchmarking Large Language Models for Construction Estimation
by: Wu, Yanzhao, et al.
Published: (2025)
by: Wu, Yanzhao, et al.
Published: (2025)
Latent Causal Void: Explicit Missing-Context Reconstruction for Misinformation Detection
by: Li, Hui, et al.
Published: (2026)
by: Li, Hui, et al.
Published: (2026)
Do Language Models Follow Occam's Razor? An Evaluation of Parsimony in Inductive and Abductive Reasoning
by: Sun, Yunxin, et al.
Published: (2025)
by: Sun, Yunxin, et al.
Published: (2025)
Reliable Control-Point Selection for Steering Reasoning in Large Language Models
by: Zhuang, Haomin, et al.
Published: (2026)
by: Zhuang, Haomin, et al.
Published: (2026)
An Active Inference Strategy for Prompting Reliable Responses from Large Language Models in Medical Practice
by: Shusterman, Roma, et al.
Published: (2024)
by: Shusterman, Roma, et al.
Published: (2024)
HBO: Hierarchical Balancing Optimization for Fine-Tuning Large Language Models
by: Wang, Weixuan, et al.
Published: (2025)
by: Wang, Weixuan, et al.
Published: (2025)
WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models
by: Fan, Shengda, et al.
Published: (2024)
by: Fan, Shengda, et al.
Published: (2024)
LyriCAR: A Difficulty-Aware Curriculum Reinforcement Learning Framework For Controllable Lyric Translation
by: Ren, Le, et al.
Published: (2025)
by: Ren, Le, et al.
Published: (2025)
Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning
by: Zhao, Jun, et al.
Published: (2024)
by: Zhao, Jun, et al.
Published: (2024)
Task Calibration: Calibrating Large Language Models on Inference Tasks
by: Li, Yingjie, et al.
Published: (2024)
by: Li, Yingjie, et al.
Published: (2024)
Equality Saturation Guided by Large Language Models
by: Peng, Wentao, et al.
Published: (2025)
by: Peng, Wentao, et al.
Published: (2025)
Probabilistic Lexical Manifold Construction in Large Language Models via Hierarchical Vector Field Interpolation
by: Pendleton, Clive, et al.
Published: (2025)
by: Pendleton, Clive, et al.
Published: (2025)
Fact-Checking with Large Language Models via Probabilistic Certainty and Consistency
by: Wang, Haoran, et al.
Published: (2026)
by: Wang, Haoran, et al.
Published: (2026)
Theorem-of-Thought: A Multi-Agent Framework for Abductive, Deductive, and Inductive Reasoning in Language Models
by: Abdaljalil, Samir, et al.
Published: (2025)
by: Abdaljalil, Samir, et al.
Published: (2025)
Bridging the Language Gaps in Large Language Models with Inference-Time Cross-Lingual Intervention
by: Wang, Weixuan, et al.
Published: (2024)
by: Wang, Weixuan, et al.
Published: (2024)
Position Paper On Diagnostic Uncertainty Estimation from Large Language Models: Next-Word Probability Is Not Pre-test Probability
by: Gao, Yanjun, et al.
Published: (2024)
by: Gao, Yanjun, et al.
Published: (2024)
Similar Items
-
DTCRS: Dynamic Tree Construction for Recursive Summarization
by: Luo, Guanran, et al.
Published: (2026) -
GCoT-Decoding: Unlocking Deep Reasoning Paths for Universal Question Answering
by: Luo, Guanran, et al.
Published: (2026) -
AGSC: Adaptive Granularity and Semantic Clustering for Uncertainty Quantification in Long-text Generation
by: Luo, Guanran, et al.
Published: (2026) -
Abductive Reasoning with Syllogistic Forms in Large Language Models
by: Abe, Hirohiko, et al.
Published: (2026) -
Abductive Inference in Retrieval-Augmented Language Models: Generating and Validating Missing Premises
by: Lin, Shiyin
Published: (2025)