:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wu, Zongqian, Xu, Baoduo, Li, Tianyu, Sun, Zhu, Zhu, Xiaofeng, Feng, Lei
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2509.17905
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Is Depth All You Need? An Exploration of Iterative Reasoning in LLMs
by: Wu, Zongqian, et al.
Published: (2025)

Rethinking Chain-of-Thought from the Perspective of Self-Training
by: Wu, Zongqian, et al.
Published: (2024)

MatryoshkaThinking: Recursive Test-Time Scaling Enables Efficient Reasoning
by: Chen, Hongwei, et al.
Published: (2025)

ReasonGraph: Visualisation of Reasoning Paths
by: Li, Zongqian, et al.
Published: (2025)

Scaling over Scaling: Exploring Test-Time Scaling Plateau in Large Reasoning Models
by: Wang, Jian, et al.
Published: (2025)

Bias Fitting to Mitigate Length Bias of Reward Model in RLHF
by: Zhao, Kangwen, et al.
Published: (2025)

LIMOPro: Reasoning Refinement for Efficient and Effective Test-time Scaling
by: Xiao, Yang, et al.
Published: (2025)

Test-Time Scaling in Reasoning Models Is Not Effective for Knowledge-Intensive Tasks Yet
by: Zhao, James Xu, et al.
Published: (2025)

Does Thinking More always Help? Mirage of Test-Time Scaling in Reasoning Models
by: Ghosal, Soumya Suvra, et al.
Published: (2025)

Less is More: Improving LLM Reasoning with Minimal Test-Time Intervention
by: Yang, Zhen, et al.
Published: (2025)

UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation
by: Zhou, Hanzhang, et al.
Published: (2024)

Does Reasoning Introduce Bias? A Study of Social Bias Evaluation and Mitigation in LLM Reasoning
by: Wu, Xuyang, et al.
Published: (2025)

Mitigating Selection Bias with Node Pruning and Auxiliary Options
by: Choi, Hyeong Kyu, et al.
Published: (2024)

PI-Mamba: Linear-Time Protein Backbone Generation via Spectrally Initialized Flow Matching
by: Wu, Tianyu, et al.
Published: (2026)

More Thinking, More Bias: Length-Driven Position Bias in Reasoning Models
by: Wang, Xiao
Published: (2026)

Entropy-Gated Branching for Efficient Test-Time Reasoning
by: Li, Xianzhi, et al.
Published: (2025)

Decoding Ambiguous Emotions with Test-Time Scaling in Audio-Language Models
by: Jia, Hong, et al.
Published: (2026)

Uncovering Bias in Foundation Models: Impact, Testing, Harm, and Mitigation
by: Sun, Shuzhou, et al.
Published: (2025)

BiasBusters: Uncovering and Mitigating Tool Selection Bias in Large Language Models
by: Blankenstein, Thierry, et al.
Published: (2025)

Reinforcement Learning Teachers of Test Time Scaling
by: Cetin, Edoardo, et al.
Published: (2025)

Test-Time Strategies for More Efficient and Accurate Agentic RAG
by: Zhang, Brian, et al.
Published: (2026)

KnowBias: Mitigating Social Bias in LLMs via Know-Bias Neuron Enhancement
by: Pan, Jinhao, et al.
Published: (2026)

EconProver: Towards More Economical Test-Time Scaling for Automated Theorem Proving
by: Li, Mukai, et al.
Published: (2025)

Efficient Test-Time Scaling via Temporal Reasoning Aggregation
by: Li, Jiakun, et al.
Published: (2026)

SLIM: Subtrajectory-Level Elimination for More Effective Reasoning
by: Yao, Xifeng, et al.
Published: (2025)

More Test-Time Compute Can Hurt: Overestimation Bias in LLM Beam Search
by: Dalal, Gal, et al.
Published: (2026)

Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias
by: Cai, Miaomiao, et al.
Published: (2024)

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment
by: Li, Cheryl, et al.
Published: (2025)

When More Thinking Hurts: Overthinking in LLM Test-Time Compute Scaling
by: Zhou, Shu, et al.
Published: (2026)

FR-TTS: Test-Time Scaling for NTP-based Image Generation with Effective Filling-based Reward Signal
by: Xu, Hang, et al.
Published: (2025)

Language Bias in LVLMs: From In-Depth Analysis to Simple and Effective Mitigation
by: Chen, Yangneng, et al.
Published: (2026)

AutoDAN-Reasoning: Enhancing Strategies Exploration based Jailbreak Attacks with Test-Time Scaling
by: Liu, Xiaogeng, et al.
Published: (2025)

Parallel Test-Time Scaling for Latent Reasoning Models
by: You, Runyang, et al.
Published: (2025)

Revisiting Technical Bias Mitigation Strategies
by: Mahamadou, Abdoul Jalil Djiberou, et al.
Published: (2024)

PhysMem: Scaling Test-Time Memory for Embodied Physical Reasoning
by: Li, Haoyang, et al.
Published: (2026)

Knowledge Updating? No More Model Editing! Just Selective Contextual Reasoning
by: He, Guoxiu, et al.
Published: (2025)

Mitigating Misleading Chain-of-Thought Reasoning with Selective Filtering
by: Wu, Yexin, et al.
Published: (2024)

Bias Testing and Mitigation in LLM-based Code Generation
by: Huang, Dong, et al.
Published: (2023)

When to Vote, When to Rewrite: Disagreement-Guided Strategy Routing for Test-Time Scaling
by: Lin, Zhimin, et al.
Published: (2026)

MILR: Improving Multimodal Image Generation via Test-Time Latent Reasoning
by: Mi, Yapeng, et al.
Published: (2025)