{"total":150,"rows":[{"id":"2503.11926","title":"Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation","created":"2025-03-14","cited_by_count":384,"area":"lr"},{"id":"2403.17887","title":"The Unreasonable Ineffectiveness of the Deeper Layers","created":"2024-03-26","cited_by_count":226,"area":"lr"},{"id":"2503.21614","title":"A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond","created":"2025-03-27","cited_by_count":132,"area":"lr"},{"id":"2402.01761","title":"Rethinking Interpretability in the Era of Large Language Models","created":"2024-01-30","cited_by_count":111,"area":"lr"},{"id":"2404.17140","title":"Small Language Models Need Strong Verifiers to Self-Correct Reasoning","created":"2024-04-26","cited_by_count":86,"area":"lr"},{"id":"2511.20639","title":"Latent Collaboration in Multi-Agent Systems","created":"2025-11-25","cited_by_count":73,"area":"lr"},{"id":"2506.18167","title":"Understanding Reasoning in Thinking Language Models via Steering Vectors","created":"2025-06-22","cited_by_count":72,"area":"lr"},{"id":"2503.24370","title":"Effectively Controlling Reasoning Models through Thinking Intervention","created":"2025-03-31","cited_by_count":65,"area":"lr"},{"id":"2506.02867","title":"Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning","created":"2025-06-03","cited_by_count":51,"area":"lr"},{"id":"2403.05518","title":"Bias-Augmented Consistency Training Reduces Biased Reasoning in Chain-of-Thought","created":"2024-03-08","cited_by_count":39,"area":"lr"},{"id":"2508.02120","title":"Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models","created":"2025-08-04","cited_by_count":37,"area":"lr"},{"id":"2502.08524","title":"LLM Pretraining with Continuous Concepts","created":"2025-02-12","cited_by_count":36,"area":"lr"},{"id":"2505.22411","title":"Mitigating Overthinking in Large Reasoning Models via Manifold Steering","created":"2025-05-28","cited_by_count":33,"area":"lr"},{"id":"2406.19764","title":"Belief Revision: The Adaptability of Large Language Models Reasoning","created":"2024-06-28","cited_by_count":30,"area":"lr"},{"id":"2505.14617","title":"The Hawthorne Effect in Reasoning Models: Evaluating and Steering Test Awareness","created":"2025-05-20","cited_by_count":30,"area":"lr"},{"id":"2410.23743","title":"What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective","created":"2024-10-31","cited_by_count":29,"area":"lr"},{"id":"2405.18711","title":"Calibrating Reasoning in Language Models with Internal Consistency","created":"2024-05-29","cited_by_count":28,"area":"lr"},{"id":"2510.07364","title":"Base Models Know How to Reason, Thinking Models Learn When","created":"2025-10-08","cited_by_count":27,"area":"lr"},{"id":"2508.04826","title":"Persistent Instability in LLM's Personality Measurements: Effects of Scale, Reasoning, and Conversation History","created":"2025-08-06","cited_by_count":26,"area":"lr"},{"id":"2504.19483","title":"Improving Reasoning Performance in Large Language Models via Representation Engineering","created":"2025-04-28","cited_by_count":23,"area":"lr"},{"id":"2402.10688","title":"Towards Uncovering How Large Language Model Works: An Explainability Perspective","created":"2024-02-16","cited_by_count":22,"area":"lr"},{"id":"2506.07180","title":"Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs","created":"2025-06-08","cited_by_count":21,"area":"lr"},{"id":"2406.12288","title":"An Investigation of Neuron Activation as a Unified Lens to Explain Chain-of-Thought Eliciting Arithmetic Reasoning of LLMs","created":"2024-06-18","cited_by_count":20,"area":"lr"},{"id":"2502.06258","title":"Emergent Response Planning in LLMs","created":"2025-02-10","cited_by_count":19,"area":"lr"},{"id":"2605.09252","title":"LLM Agents Already Know When to Call Tools -- Even Without Reasoning","created":"2026-05-10","cited_by_count":19,"area":"lr"},{"id":"2502.15845","title":"Verify when Uncertain: Beyond Self-Consistency in Black Box Hallucination Detection","created":"2025-02-20","cited_by_count":18,"area":"lr"},{"id":"2505.12189","title":"Mitigating Content Effects on Reasoning in Language Models through Fine-Grained Activation Steering","created":"2025-05-18","cited_by_count":18,"area":"lr"},{"id":"2503.22048","title":"ThinkEdit: Interpretable Weight Editing to Mitigate Overly Short Thinking in Reasoning Models","created":"2025-03-27","cited_by_count":17,"area":"lr"},{"id":"2402.14874","title":"Distillation Contrastive Decoding: Improving LLMs Reasoning with Contrastive Decoding and Distillation","created":"2024-02-21","cited_by_count":16,"area":"lr"},{"id":"2505.15257","title":"When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners","created":"2025-05-21","cited_by_count":16,"area":"lr"},{"id":"2406.12255","title":"A Hopfieldian View-based Interpretation for Chain-of-Thought Reasoning","created":"2024-06-18","cited_by_count":15,"area":"lr"},{"id":"2502.04040","title":"Safety Reasoning with Guidelines","created":"2025-02-06","cited_by_count":15,"area":"lr"},{"id":"2504.17130","title":"Steering the CensorShip: Uncovering Representation Vectors for LLM \"Thought\" Control","created":"2025-04-23","cited_by_count":14,"area":"lr"},{"id":"2506.15882","title":"Fractional Reasoning via Latent Steering Vectors Improves Inference Time Compute","created":"2025-06-18","cited_by_count":14,"area":"lr"},{"id":"2504.14379","title":"The Geometry of Self-Verification in a Task-Specific Reasoning Model","created":"2025-04-19","cited_by_count":13,"area":"lr"},{"id":"2505.15634","title":"Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language Models","created":"2025-05-21","cited_by_count":13,"area":"lr"},{"id":"2510.20956","title":"Self-Jailbreaking: Language Models Can Reason Themselves Out of Safety Alignment After Benign Reasoning Training","created":"2025-10-23","cited_by_count":12,"area":"lr"},{"id":"2511.06419","title":"MONICA: Real-Time Monitoring and Calibration of Chain-of-Thought Sycophancy in Large Reasoning Models","created":"2025-11-09","cited_by_count":12,"area":"lr"},{"id":"2410.03595","title":"Understanding Reasoning in Chain-of-Thought from the Hopfieldian View","created":"2024-10-04","cited_by_count":11,"area":"lr"},{"id":"2510.06036","title":"Refusal Falls off a Cliff: How Safety Alignment Fails in Reasoning?","created":"2025-10-07","cited_by_count":11,"area":"lr"},{"id":"2602.08783","title":"Dynamics Within Latent Chain-of-Thought: An Empirical Study of Causal Structure","created":"2026-02-09","cited_by_count":11,"area":"lr"},{"id":"2507.03704","title":"Controlling Thinking Speed in Reasoning Models","created":"2025-07-04","cited_by_count":10,"area":"lr"},{"id":"2512.24574","title":"Understanding and Steering the Cognitive Behaviors of Reasoning Models at Test-Time","created":"2025-12-31","cited_by_count":10,"area":"lr"},{"id":"2603.01326","title":"Truth as a Trajectory: What Internal Representations Reveal About Large Language Model Reasoning","created":"2026-03-01","cited_by_count":10,"area":"lr"},{"id":"2508.15842","title":"Lexical Hints of Accuracy in LLM Reasoning Chains","created":"2025-08-19","cited_by_count":9,"area":"lr"},{"id":"2510.10494","title":"Tracing the Traces: Latent Temporal Signals for Efficient and Accurate Reasoning","created":"2025-10-12","cited_by_count":9,"area":"lr"},{"id":"2511.08525","title":"Investigating CoT Monitorability in Large Reasoning Models","created":"2025-11-11","cited_by_count":9,"area":"lr"},{"id":"2512.11949","title":"Neural Chameleons: Language Models Can Learn to Hide Their Thoughts from Unseen Activation Monitors","created":"2025-12-12","cited_by_count":9,"area":"lr"},{"id":"2602.15382","title":"The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems","created":"2026-02-17","cited_by_count":9,"area":"lr"},{"id":"2506.15647","title":"Exploring and Exploiting the Inherent Efficiency within Large Reasoning Models for Self-Guided Efficiency Enhancement","created":"2025-06-18","cited_by_count":8,"area":"lr"},{"id":"2509.06608","title":"Small Vectors, Big Effects: A Mechanistic Study of RL-Induced Reasoning via Steering Vectors","created":"2025-09-08","cited_by_count":8,"area":"lr"},{"id":"2605.09502","title":"Hidden Error Awareness in Chain-of-Thought Reasoning: The Signal Is Diagnostic, Not Causal","created":"2026-05-10","cited_by_count":7,"area":"lr"},{"id":"2606.02907","title":"Linear Probes Detect Task Format, Not Reasoning Mode in Language Model Hidden States","created":"2026-06-01","cited_by_count":7,"area":"lr"},{"id":"2410.04407","title":"Lens: Rethinking Multilingual Enhancement for Large Language Models","created":"2024-10-06","cited_by_count":6,"area":"lr"},{"id":"2507.17075","title":"LoRA is All You Need for Safety Alignment of Reasoning LLMs","created":"2025-07-22","cited_by_count":6,"area":"lr"},{"id":"2602.06256","title":"Steering Safely or Off a Cliff? Rethinking Specificity and Robustness in Inference-Time Interventions","created":"2026-02-05","cited_by_count":6,"area":"lr"},{"id":"2605.05980","title":"TACT: Mitigating Overthinking and Overacting in Coding Agents via Activation Steering","created":"2026-05-07","cited_by_count":6,"area":"lr"},{"id":"2502.20684","title":"JAM: Controllable and Responsible Text Generation via Causal Reasoning and Latent Vector Manipulation","created":"2025-02-28","cited_by_count":5,"area":"lr"},{"id":"2509.18163","title":"Thinking in a Crowd: How Auxiliary Information Shapes LLM Reasoning","created":"2025-09-17","cited_by_count":5,"area":"lr"},{"id":"2509.24238","title":"Learning to Ponder: Adaptive Reasoning in Latent Space","created":"2025-09-29","cited_by_count":5,"area":"lr"},{"id":"2511.17910","title":"L2V-CoT: Cross-Modal Transfer of Chain-of-Thought Reasoning via Latent Intervention","created":"2025-11-22","cited_by_count":5,"area":"lr"},{"id":"2512.00756","title":"MPR-GUI: Benchmarking and Enhancing Multilingual Perception and Reasoning in GUI Agents","created":"2025-11-30","cited_by_count":5,"area":"lr"},{"id":"2605.07579","title":"Your Language Model is Its Own Critic: Reinforcement Learning with Value Estimation from Actor's Internal States","created":"2026-05-08","cited_by_count":5,"area":"lr"},{"id":"2605.18549","title":"Monitoring the Internal Monologue: Probe Trajectories Reveal Reasoning Dynamics","created":"2026-05-18","cited_by_count":5,"area":"lr"},{"id":"2504.06650","title":"ThoughtProbe: Classifier-Guided Thought Space Exploration Leveraging LLM Intrinsic Reasoning","created":"2025-04-09","cited_by_count":4,"area":"lr"},{"id":"2510.09354","title":"Logit Arithmetic Elicits Long Reasoning Capabilities Without Training","created":"2025-10-10","cited_by_count":4,"area":"lr"},{"id":"2511.04341","title":"Monitor-Generate-Verify (MGV): Formalising Metacognitive Theory for Language Model Reasoning","created":"2025-11-06","cited_by_count":4,"area":"lr"},{"id":"2601.10229","title":"GeoSteer: Faithful Chain-of-Thought Steering via Latent Manifold Gradients","created":"2026-01-15","cited_by_count":4,"area":"lr"},{"id":"2601.19847","title":"Identifying and Transferring Reasoning-Critical Neurons: Improving LLM Inference Reliability via Activation Steering","created":"2026-01-27","cited_by_count":4,"area":"lr"},{"id":"2602.01982","title":"S3-CoT: Self-Sampled Succinct Reasoning Enables Efficient Chain-of-Thought LLMs","created":"2026-02-02","cited_by_count":4,"area":"lr"},{"id":"2507.03167","title":"Where Do Reasoning Models Refuse?","created":"2025-07-03","cited_by_count":3,"area":"lr"},{"id":"2507.10085","title":"Enhancing Chain-of-Thought Reasoning with Critical Representation Fine-tuning","created":"2025-07-14","cited_by_count":3,"area":"lr"},{"id":"2510.16374","title":"Before you <think>, monitor: Implementing Flavell's metacognitive framework in LLMs","created":"2025-10-18","cited_by_count":3,"area":"lr"},{"id":"2510.27355","title":"ThoughtProbe: Classifier-Guided LLM Thought Space Exploration via Probing Representations","created":"2025-10-31","cited_by_count":3,"area":"lr"},{"id":"2512.07092","title":"The Geometry of Persona: Disentangling Personality from Reasoning in Large Language Models","created":"2025-12-08","cited_by_count":3,"area":"lr"},{"id":"2512.13979","title":"ReflCtrl: Controlling LLM Reflection Efficiently via Representation Engineering","created":"2025-12-16","cited_by_count":3,"area":"lr"},{"id":"2606.01243","title":"Unlocking the Black Box of Latent Reasoning: An Interpretability-Guided Approach to Intervention","created":"2026-05-31","cited_by_count":3,"area":"lr"},{"id":"2606.10646","title":"How Does Reasoning Flow? Tracing Attention-Induced Information Flow for Targeted RL in LLMs","created":"2026-06-09","cited_by_count":3,"area":"lr"},{"id":"2404.15206","title":"Does Instruction Tuning Make LLMs More Consistent?","created":"2024-04-23","cited_by_count":2,"area":"lr"},{"id":"2502.13416","title":"Detecting LLM Fact-conflicting Hallucinations Enhanced by Temporal-logic-based Reasoning","created":"2025-02-19","cited_by_count":2,"area":"lr"},{"id":"2507.12759","title":"Logit Arithmetic Elicits Long Reasoning Capabilities Without Training","created":"2025-07-17","cited_by_count":2,"area":"lr"},{"id":"2511.19131","title":"Eliciting Chain-of-Thought in Base LLMs via Gradient-Based Representation Optimization","created":"2025-11-24","cited_by_count":2,"area":"lr"},{"id":"2602.17691","title":"Tethered Reasoning: Decoupling Entropy from Hallucination in Quantized LLMs via Manifold Steering","created":"2026-02-06","cited_by_count":2,"area":"lr"},{"id":"2604.00012","title":"Finding and Reactivating Post-Trained LLMs' Hidden Safety Mechanisms","created":"2026-03-10","cited_by_count":2,"area":"lr"},{"id":"2604.01202","title":"Therefore I am. I Think","created":"2026-04-01","cited_by_count":2,"area":"lr"},{"id":"2604.23460","title":"Ulterior Motives: Detecting Misaligned Reasoning in Continuous Thought Models","created":"2026-04-25","cited_by_count":2,"area":"lr"},{"id":"2605.13772","title":"Where Does Reasoning Break? Step-Level Hallucination Detection via Hidden-State Transport Geometry","created":"2026-05-13","cited_by_count":2,"area":"lr"},{"id":"2605.16874","title":"Reasoning Can Be Restored by Correcting a Few Decision Tokens","created":"2026-05-16","cited_by_count":2,"area":"lr"},{"id":"2605.28823","title":"What are They Thinking? Delineation, Probing, and Tracking of Concepts in LLMs","created":"2026-04-07","cited_by_count":2,"area":"lr"},{"id":"2606.17478","title":"Decoding Hidden Deception in Reasoning LLMs: Activation Explainers for Deception Auditing","created":"2026-06-16","cited_by_count":2,"area":"lr"},{"id":"2606.31257","title":"Decodable Is Not Grounded: A Vision-Ablation Arbiter for VLM Spatial Reasoning","created":"2026-06-30","cited_by_count":2,"area":"lr"},{"id":"2608.02089","title":"How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models","created":"2026-08-03","cited_by_count":2,"area":"lr"},{"id":"2405.14075","title":"$T^2$ of Thoughts: Temperature Tree Elicits Reasoning in Large Language Models","created":"2024-05-23","cited_by_count":1,"area":"lr"},{"id":"2510.18154","title":"Annotating the Chain-of-Thought: A Behavior-Labeled Dataset for AI Safety","created":"2025-10-20","cited_by_count":1,"area":"lr"},{"id":"2603.16017","title":"Understanding Moral Reasoning Trajectories in Large Language Models: Toward Probing-Based Explainability","created":"2026-03-16","cited_by_count":1,"area":"lr"},{"id":"2604.00716","title":"CircuitProbe: Predicting Reasoning Circuits in Transformers via Stability Zone Detection","created":"2026-04-01","cited_by_count":1,"area":"lr"},{"id":"2604.19001","title":"HarmThoughts: A Benchmark for Fine-Grained Harmful Behavior Detection in Reasoning Traces","created":"2026-04-21","cited_by_count":1,"area":"lr"},{"id":"2605.10831","title":"SLIM: Sparse Latent Steering for Interpretable and Property-Directed LLM-Based Molecular Editing","created":"2026-05-11","cited_by_count":1,"area":"lr"},{"id":"2605.17113","title":"The Point of No Return: Counterfactual Localization of Deceptive Commitment in Language-Model Reasoning","created":"2026-05-16","cited_by_count":1,"area":"lr"},{"id":"2605.21770","title":"Manifold-Guided Attention Steering","created":"2026-05-20","cited_by_count":1,"area":"lr"}],"next_cursor":"100"}