Large Language Model Reasoning

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Large Language Model Reasoning

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Not All Explanations Simulate Equally: Comparing Verbalized Feature Attributions and Self-Generated Rationales
May 31, 2026Pingjun Hong, Benjamin RothRationales Verbalization
Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific Branches
May 31, 2026Teddy Ferdinan, Bartłomiej Koptyra, Mikołaj Langner +42Scientific Discovery Large Language Model Reasoning
From Outliers to Errors: Auditing Pali-to-English LLM Translations with Multi-Reference Adjudication
May 31, 2026Máté Metzger, Nadnapang Phophichit, Hansa DhammahasoTranslation Quality Adjudication
On the Generalization Gap in Self-Evolving Language Model Reasoning
May 31, 2026Zhenting Qi, Susanna Maria Baby, Stefanie Anna Baby +5Self-Evolution Reasoning Benchmark
Enhancing LLM Metacognition via Cognitive Pairwise Training
May 30, 2026Weitao Li, Hao Zhou, Xuanyu Lei +11Large Language Model Reasoning Reinforcement Learning With Verifiable Reward
Latent Reward Steering: An Adaptive Inference-Time Framework that Implicitly Promotes Cognitive Behaviors in Reasoning LLMs
May 30, 2026Jiakang Li, Guanyu Zhu, Can Jin +8Large Language Model Reasoning
OCC-RAG: Optimal Cognitive Core for Faithful Question Answering
May 30, 2026Maksim Savkin, Mikhail Goncharov, Alexander Gambashidze +7Multi-Hop Reasoning Large Language Model Reasoning
Hidden Thoughts Are Not Secret: Reasoning Trace Exposure in LLMs
May 30, 2026Yu-An Lu, Ci-Yang Tsai, Yu-Lin Tsai +2Reasoning Traces Large Language Model Reasoning
Robust Reasoning via Dynamic Token Selection for Distribution-Aligned Self-Distillation
May 30, 2026Ruiqi Zhang, Lingxiang Wang, Hainan Zhang Zhiming ZhengReasoning Benchmark Stylistic Fidelity
Pause and Think: A Dataset and Benchmark for Video-Grounded Assistive Action Suggestion
May 30, 2026Shivam Singh, Saptarshi Majumder, Pratik Prabhanjan Brahma +2Large Vision Language Models Table Reasoning Datasets
Critic-R: Improving Agentic Search using Instruction-tuned Retrievers with Natural Language Introspective Feedback
May 30, 2026Md Zarif Ul Alam, Alireza Salemi, Hamed ZamaniAgentic Search Retrievers
PropLLM: Propagation-Aware Scene Reconstruction for Network Fault Diagnosis
May 30, 2026Zongzong Wu, Ming Zhao, Fengxiao Tang +1Large Language Model Reasoning Causal Reasoning
LaSR: Context-Aware Speech Recognition via Latent Reasoning
May 30, 2026Heyang Liu, Ziyang Cheng, Jiayi Huang +5Speech Large Language Models Efficient Latent Reasoning
The Deterministic Horizon: When Extended Reasoning Fails and Tool Delegation Becomes Necessary
May 29, 2026Dongxin Guo, Jikun Wu, Siu Ming YiuAgentic Reasoning Reasoning Failures
Bridging Reasoning Trajectories in On-Policy Distillation via Near-Future Guidance
May 29, 2026Yuxuan Jiang, Francis FerraroOn-Policy Distillation Reasoning Trajectory
TIGER: Traceable Inference with Graph-Based Evidence Routing for Mitigating Hallucinations in Multimodal Generation
May 29, 2026Kaixiang Zhao, Tianrun Yu, Shawn Huang +3Multimodal Generation Multilingual Fact-Checking
Quantized Reasoning Models Think They Need to Think Longer, but They Do Not
May 29, 2026Sanae Lotfi, Polina Kirichenko, Steven Li +1Large Reasoning Models Large Language Model Quantization
LongTraceRL: Learning Long-Context Reasoning from Search Agent Trajectories with Rubric Rewards
May 29, 2026Nianyi Lin, Jiajie Zhang, Lei Hou +1Large Language Model Reasoning Reinforcement Learning With Verifiable Reward
nuReasoning: A Reasoning-Centric Dataset and Benchmark for Long-Tail Autonomous Driving
May 29, 2026Zhiyu Huang, Johnson Liu, Rui Song +13Naturalistic Driving Data Autonomous Driving
What Am I Missing? Question-Answering as Hidden State Probing
May 29, 2026Chu Fei Luo, Samuel Dahan, Xiaodan ZhuLarge Language Model Reasoning Closed-Book Question Answering
Semantic Triplet Restoration: A Novel Protocol for Hierarchical Table Understanding in Large Language Models
May 29, 2026Yibin Zhao, Fangxin Shang, Dingrui Yang +1Tabular Data Rdf
LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories
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Unlocking Fine-Grained Translation Quality Estimation in LRMs through Mutually Boosting Implicit and Explicit Reasoning
May 29, 2026Renfei Dang, Xinye Wang, Zhejian Lai +5Machine Translation Quality Reasoning Chain
Diagnosing Failure Modes of Shared-State Collaboration in Resource-Constrained Visual Agents
May 29, 2026Yunpeng ZhouCollaboration Reasoning Failures
Scaling Multi-Hop Training Data via Graph-Constrained Path Selection
May 29, 2026Pengyu Chen, Yonggang Zhang, Mingming Chen +3Reasoning Paths Legal Domain
iVGR: Internalizing Visually Grounded Reasoning for MLLMs with Reinforcement Learning
May 29, 2026Chang-Bin Zhang, Yujie Zhong, Qiang Zhang +1Explicit Visual Grounding Fine-Grained Perception
Fighting Numerical Hallucinations via Data-centric Compilation for Online Financial QA
May 29, 2026Hao Chen, Xing Tang, Qirui Liu +6Large Language Model Reasoning Finance Domain
AdaptR1: Reinforcement Learning Based Adaptive Interleaved Thinking in Multi-hop Question Answering
May 29, 2026Yuxin Wang, Jiahao Lu, Qifeng Wu +5Multi-Hop Reasoning Chain-of-Thought Reasoning
MetaEvo: A Meta-Optimization Framework for Experience-Driven Agent Evolution
May 29, 2026Bowen Ren, Heyan Huang, Yinghao Li +1Self-Evolving Agents Reasoning Benchmark
SLAT: Segment-Level Adaptive Trimming for Efficient CoT Reasoning
May 29, 2026Jian Yao, Xiongcai Luo, Ran Cheng +1Large Reasoning Models Efficient Chain-Of-Thought Reasoning
Chain-of-Thought and Compressed Looped Transformers: A Memory-Budget Separation
May 29, 2026Haozhou ZhangEfficient Chain-Of-Thought Reasoning Chain-of-Thought Reasoning
LARK: Learnability-Grounded Trajectory Selection for Efficient Reasoning Distillation
May 28, 2026Tianrun Yu, Kaixiang Zhao, Chih-Chun Chen +5Reasoning Trajectory Trajectory Prediction
COFT: Counterfactual-Conformal Decoding for Fair Chain-of-Thought Reasoning in Large Language Models
May 28, 2026Arya Fayyazi, Mehdi Kamal, Massoud PedramLarge Language Model Bias Implicit Bias
MAAT: Multi-phase Adapter-Aware Targeted Unlearning
May 28, 2026Suryash Yagnik, Shubham Gaur, Saksham Thakur +3Causal Reasoning Reasoning Benchmark
VeriGate: Verifier-Gated Step-Level Supervision for GRPO
May 28, 2026Aakriti Agrawal, Minghui Liu, Furong HuangGroup Relative Policy Optimization Reinforcement Learning With Verifiable Reward
Unlocking the Working Memory of Large Language Models for Latent Reasoning
May 28, 2026Lukas Aichberger, Sepp HochreiterEfficient Latent Reasoning Large Language
Reasoning with Sampling: Cutting at Decision Points
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Conformal Certification of Reasoning Trace Prefixes
May 28, 2026Matt Y. Cheung, Ashok Veeraraghavan, Hanjie Chen +1Reasoning Traces Certification
FakeVLM-R1: Internalizing Physical Laws via CoT for Synthetic Image Detection
May 28, 2026Leqi Zhu, Junyan Ye, Kaiqing Lin +3Synthetic Image Detection Forgeries
EVL-ECG: Efficient ECG Interpretation With Multi-Aspect Heterogeneous Knowledge Distillation
May 28, 2026Dang Nguyen Hong, Nhi Ngoc-Yen Nguyen, Huy-Hieu PhamPediatric-Adult Electrocardiogram Alignment Electronic Health Record Foundation Models
Social Reasoning in Machines: Investigating Collective Truth-Seeking Dynamics in Large Language Model Debate
May 28, 2026Tom PecherMulti-Agent Debate Large Language Model Reasoning
Reliable Reasoning with Large Language Models via Preference-Based Maximum Satisfiability
May 28, 2026Pedro Orvalho, Marta Kwiatkowska, Guillem Alenyà +1Large Language Model Reasoning Satisfiability
TRACE: Toulmin-based Reasoning Assessment through Constructive Elements for LLM CoT Evaluation
May 28, 2026Yundong Kim, Heyoung YangLarge Language Model Reasoning Large Language Model Evaluation
LLM-Evolved Domain-Independent Heuristics for Symbolic AI Planning
May 28, 2026Elliot Gestrin, Jendrik SeippLarge Language Model Planning Heuristics
Xetrieval: Mechanistically Explaining Dense Retrieval
May 28, 2026Zhixin Cai, Jun Bai, Yang Liu +7Retrieval Layer Global Embeddings
Reasoning-preserved Efficient Distillation of Large Language Models via Activation-aware Initialization
May 28, 2026Junlin He, Yihong Tang, Tong Nie +5Chain-Of-Thought Distillation Large Language Model Reasoning
Rethinking Stepwise Model Routing: A Cost-Efficient Table Reasoning Perspective
May 28, 2026Shenghao Ye, Yuxiang Wang, Yu Guo +3Large Reasoning Models Few-Step
Rubric-Guided Process Reward for Stepwise Model Routing
May 28, 2026Shenghao Ye, Yu Guo, Zhengheng Li +2Reliable Medical Process-Level Reward Model Evaluation Framework Large Language Model Routing
Tailoring the Curriculum: Student-Centered Reasoning Distillation via Dynamic Data-Model Compatibility
May 28, 2026Jiahao Huang, Fei Cheng, Junfeng Jiang +1Table Reasoning Datasets Asymmetric Distillation
Guidance Contrastive Token Credit Assignment for Discrete Policy Optimization
May 28, 2026Shufan Li, Konstantinos Kallidromitis, Akash Gokul +2Group Relative Policy Optimization Multi-Objective Policy Optimization
ReasonOps: Operator Segmentation for LLM Reasoning Traces
May 28, 2026Daniel Lee, Owen Queen, James ZouReasoning Traces Large Language Model Reasoning
When RL Suppresses Its Own Vocabulary: Recovering Reasoning Diversity in Puzzle-to-Math Transfer
May 28, 2026Mayug Maniparambil, Arjun Karuvally, Terrence Sejnowski +1Large Language Model Reasoning Reinforcement Learning With Verifiable Reward
The Confidence Shortcut: A Reasoning Failure Mode of Masked Diffusion Models
May 27, 2026Dueun Kim, Albert NoMasked Diffusion Language Models Training-Inference Mismatch
Beyond Consensus: Trace-Level Synthesis in Mixture of Agents
May 27, 2026Shreyas Fadnavis, Praitayini Kanakaraj, Felix WyssMulti-Agent Reasoning Consensus
The Chain Holds, the Answer Folds: Trace-Answer Dissociation in Reasoning Models Under Adversarial Pressure
May 27, 2026Yubo Li, Ramayya Krishnan, Rema PadmanLarge Reasoning Models Dissociation
Error as a Lens: Probing LLM Reasoning through Synthetic Misconception Generation
May 27, 2026Xinming Yang, Jun LiStudent Misconceptions Synthetic Dataset
FormInv: A Measurement Protocol for Semantic Invariance in Mathematical Reasoning Benchmarks
May 27, 2026Nishal Thomas, Noel ThomasCorrectness Theorem
Skill-Conditioned Gated Self-Distillation for LLM Reasoning
May 27, 2026Jiazhen Huang, Xiao Chen, Xiao Luo +3Unsupervised On-Policy Self-Distillation Large Language Model Reasoning
Reasoning that Travels: Dissecting How Chain-of-Thought Transfers Across Models
May 27, 2026Xinyuan Cheng, Beiduo Chen, Philipp Mondorf +1Reasoning Traces Efficient Chain-Of-Thought Reasoning
CORE: Contrastive Reflection Enables Rapid Improvements in Reasoning
May 27, 2026Linas Nasvytis, Simon Jerome Han, Ben Prystawski +3Contrastive Reasoning Failures

May 31, 2026 · cs.CLJ/K move · Enter open · S save

Not All Explanations Simulate Equally: Comparing Verbalized Feature Attributions and Self-Generated Rationales

Pingjun Hong, Benjamin Roth

Faculty of Computer Science, University of Vienna, Vienna, Austria · UniVie Doctoral School Computer Science, University of Vienna, Vienna, Austria · Faculty of Philological and Cultural Studies, University of Vienna, Vienna, Austria

Natural-language explanations are often treated as a unified interface for understanding model behavior, but different explanation sources may support simulation in different ways. This paper compares two families of explanations for question answering models: verbalized feature attributions and self-generated rationales. We evaluate them under a shared counterfactual simulation setting, using an LLM judge as predictor and measuring whether it can better predict a model's answers to follow-up questions when given its explanation. Across multiple instruction-tuned models, we analyze how explanation source, verbalization strategy, and feature granularity affect the simulatability of explanations. Our results show that explanation format and granularity affect simulatability: attribution-based explanations and self-generated rationales differ in how much they improve counterfactual prediction, with effects that vary across models and formats.

Rationales Verbalization Counterfactual Reasoning

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