BitCal-TTS: Bit-Calibrated Test-Time Scaling for Quantized Reasoning Models
Fuente:
arXiv
Saved in:
| Main Authors: | Patarlapalli, Sai Babu, Avvaru, Surya Teja |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback
by: Adapala, Sai Teja Reddy
Published: (2025)
by: Adapala, Sai Teja Reddy
Published: (2025)
Cognitive Load Limits in Large Language Models: Benchmarking Multi-Hop Reasoning
by: Adapala, Sai Teja Reddy
Published: (2025)
by: Adapala, Sai Teja Reddy
Published: (2025)
Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers
by: Redkar, Neel
Published: (2024)
by: Redkar, Neel
Published: (2024)
Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization
by: Wen, Yuqiao, et al.
Published: (2025)
by: Wen, Yuqiao, et al.
Published: (2025)
Entropy-Based Measurement of Value Drift and Alignment Work in Large Language Models
by: Fadli, Samih
Published: (2025)
by: Fadli, Samih
Published: (2025)
The Geometry of Thought: How Scale Restructures Reasoning In Large Language Models
by: Anderson, Samuel Cyrenius
Published: (2026)
by: Anderson, Samuel Cyrenius
Published: (2026)
BitSkip: An Empirical Analysis of Quantization and Early Exit Composition in Transformers
by: Bhuvaneswaran, Ramshankar, et al.
Published: (2025)
by: Bhuvaneswaran, Ramshankar, et al.
Published: (2025)
Automated CAD Modeling Sequence Generation from Text Descriptions via Transformer-Based Large Language Models
by: Liao, Jianxing, et al.
Published: (2025)
by: Liao, Jianxing, et al.
Published: (2025)
Scaling Trends for Multi-Hop Contextual Reasoning in Mid-Scale Language Models
by: Steele, Brady, et al.
Published: (2026)
by: Steele, Brady, et al.
Published: (2026)
Quantization Undoes Alignment: Bias Emergence in Compressed LLMs Across Models and Precision Levels
by: Rath, Plawan Kumar, et al.
Published: (2026)
by: Rath, Plawan Kumar, et al.
Published: (2026)
HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph
by: He, Yongquan, et al.
Published: (2024)
by: He, Yongquan, et al.
Published: (2024)
JURY-RL: Votes Propose, Proofs Dispose for Label-Free RLVR
by: Chen, Xinjie, et al.
Published: (2026)
by: Chen, Xinjie, et al.
Published: (2026)
OSCToM: RL-Guided Adversarial Generation for High-Order Theory of Mind
by: Srishty, Sharmin Sultana, et al.
Published: (2026)
by: Srishty, Sharmin Sultana, et al.
Published: (2026)
CoE: Collaborative Entropy for Uncertainty Quantification in Agentic Multi-LLM Systems
by: Sun, Kangkang, et al.
Published: (2026)
by: Sun, Kangkang, et al.
Published: (2026)
Curveball Steering: The Right Direction To Steer Isn't Always Linear
by: Raval, Shivam, et al.
Published: (2026)
by: Raval, Shivam, et al.
Published: (2026)
Intention Collapse: Intention-Level Metrics for Reasoning in Language Models
by: Vera, Patricio
Published: (2026)
by: Vera, Patricio
Published: (2026)
On Semantic Loss Fine-Tuning Approach for Preventing Model Collapse in Causal Reasoning
by: Deshmukh, Pratik, et al.
Published: (2026)
by: Deshmukh, Pratik, et al.
Published: (2026)
Reasoning Large Language Model Errors Arise from Hallucinating Critical Problem Features
by: Heyman, Alex, et al.
Published: (2025)
by: Heyman, Alex, et al.
Published: (2025)
Assessing Large Language Models on Islamic Legal Reasoning: Evidence from Inheritance Law Evaluation
by: Bouchekif, Abdessalam, et al.
Published: (2025)
by: Bouchekif, Abdessalam, et al.
Published: (2025)
Why Models Know But Don't Say: Chain-of-Thought Faithfulness Divergence Between Thinking Tokens and Answers in Open-Weight Reasoning Models
by: Young, Richard J.
Published: (2026)
by: Young, Richard J.
Published: (2026)
OntoLogX: Ontology-Guided Knowledge Graph Extraction from Cybersecurity Logs with Large Language Models
by: Cotti, Luca, et al.
Published: (2025)
by: Cotti, Luca, et al.
Published: (2025)
Survey Transfer Learning: Recycling Data with Silicon Responses
by: Amini, Ali
Published: (2025)
by: Amini, Ali
Published: (2025)
Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs
by: Eisenstadt, Roy, et al.
Published: (2025)
by: Eisenstadt, Roy, et al.
Published: (2025)
CircuitProbe: Predicting Reasoning Circuits in Transformers via Stability Zone Detection
by: Panuganti, Rajkiran
Published: (2026)
by: Panuganti, Rajkiran
Published: (2026)
BioAlchemy: Distilling Biological Literature into Reasoning-Ready Reinforcement Learning Training Data
by: Hsu, Brian, et al.
Published: (2026)
by: Hsu, Brian, et al.
Published: (2026)
UrduBench: An Urdu Reasoning Benchmark using Contextually Ensembled Translations with Human-in-the-Loop
by: Shafique, Muhammad Ali, et al.
Published: (2026)
by: Shafique, Muhammad Ali, et al.
Published: (2026)
How Does Unfaithful Reasoning Emerge from Autoregressive Training? A Study of Synthetic Experiments
by: Wang, Fuxin, et al.
Published: (2026)
by: Wang, Fuxin, et al.
Published: (2026)
CIDR: A Large-Scale Industrial Source Code Dataset for Software Engineering Research
by: Savenkov, Vladislav
Published: (2026)
by: Savenkov, Vladislav
Published: (2026)
Instruction-Level Weight Shaping: A Framework for Self-Improving AI Agents
by: Costa, Rimom
Published: (2025)
by: Costa, Rimom
Published: (2025)
Counterfactual Likelihood Tests for Indirect Influence in Private Reasoning Channels
by: Lorup, Alexander Boesgaard
Published: (2026)
by: Lorup, Alexander Boesgaard
Published: (2026)
Machine Unlearning for Masked Diffusion Language Models
by: Lee, Georu, et al.
Published: (2026)
by: Lee, Georu, et al.
Published: (2026)
Truth as a Compression Artifact in Language Model Training
by: Krestnikov, Konstantin
Published: (2026)
by: Krestnikov, Konstantin
Published: (2026)
RMGAP: Benchmarking the Generalization of Reward Models across Diverse Preferences
by: Zhou, Yangyang, et al.
Published: (2026)
by: Zhou, Yangyang, et al.
Published: (2026)
Pressure-Testing Deception Probes in LLMs: Scaling, Robustness, and the Geometry of Deceptive Representations
by: Kumar, Sachin
Published: (2026)
by: Kumar, Sachin
Published: (2026)
ImmigrationQA: A Source-Grounded Dataset and Small-Model Adaptation for U.S. Immigration Law
by: Shportun, Nazarii
Published: (2026)
by: Shportun, Nazarii
Published: (2026)
NeuronSpark: A Spiking Neural Network Language Model with Selective State Space Dynamics
by: Tang, Zhengzheng
Published: (2026)
by: Tang, Zhengzheng
Published: (2026)
SECURA: Sigmoid-Enhanced CUR Decomposition with Uninterrupted Retention and Low-Rank Adaptation in Large Language Models
by: Zhang, Yuxuan
Published: (2025)
by: Zhang, Yuxuan
Published: (2025)
SCULPT: Constraint-Guided Pruned MCTS that Carves Efficient Paths for Mathematical Reasoning
by: Fang, Qitong, et al.
Published: (2026)
by: Fang, Qitong, et al.
Published: (2026)
Model selection meets clinical semantics: Optimizing ICD-10-CM prediction via LLM-as-Judge evaluation, redundancy-aware sampling, and section-aware fine-tuning
by: Dai, Hong-Jie, et al.
Published: (2025)
by: Dai, Hong-Jie, et al.
Published: (2025)
Enhancing Large Language Models through Neuro-Symbolic Integration and Ontological Reasoning
by: Vsevolodovna, Ruslan Idelfonso Magana, et al.
Published: (2025)
by: Vsevolodovna, Ruslan Idelfonso Magana, et al.
Published: (2025)
Similar Items
-
The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback
by: Adapala, Sai Teja Reddy
Published: (2025) -
Cognitive Load Limits in Large Language Models: Benchmarking Multi-Hop Reasoning
by: Adapala, Sai Teja Reddy
Published: (2025) -
Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers
by: Redkar, Neel
Published: (2024) -
Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization
by: Wen, Yuqiao, et al.
Published: (2025) -
Entropy-Based Measurement of Value Drift and Alignment Work in Large Language Models
by: Fadli, Samih
Published: (2025)