Weight Pruning Amplifies Bias: A Multi-Method Study of Compressed LLMs for Edge AI
Fuente:
arXiv
Saved in:
| Main Authors: | Rath, Plawan Kumar, Maliakkal, Rahul |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Instruction-Level Weight Shaping: A Framework for Self-Improving AI Agents
by: Costa, Rimom
Published: (2025)
by: Costa, Rimom
Published: (2025)
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)
FastForward Pruning: Efficient LLM Pruning via Single-Step Reinforcement Learning
by: Yuan, Xin, et al.
Published: (2025)
by: Yuan, Xin, 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)
Can AI Read Between The Lines? Benchmarking LLMs On Financial Nuance
by: Kubica, Dominick, et al.
Published: (2025)
by: Kubica, Dominick, et al.
Published: (2025)
The Arrival of AGI? When Expert Personas Exceed Expert Benchmarks
by: Mullens, Drake, et al.
Published: (2026)
by: Mullens, Drake, et al.
Published: (2026)
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)
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)
BitCal-TTS: Bit-Calibrated Test-Time Scaling for Quantized Reasoning Models
by: Patarlapalli, Sai Babu, et al.
Published: (2026)
by: Patarlapalli, Sai Babu, et al.
Published: (2026)
Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers
by: Redkar, Neel
Published: (2024)
by: Redkar, Neel
Published: (2024)
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)
When Persuasion Overrides Truth in Multi-Agent LLM Debates: Introducing a Confidence-Weighted Persuasion Override Rate (CW-POR)
by: Agarwal, Mahak, et al.
Published: (2025)
by: Agarwal, Mahak, et al.
Published: (2025)
Statistical Scouting Finds Debate-Safe but Not Debate-Useful Cases: A Matched-Ceiling Study of Open-Weight LLM Reasoning Protocols
by: Hu, Julia, et al.
Published: (2026)
by: Hu, Julia, et al.
Published: (2026)
Truth as a Compression Artifact in Language Model Training
by: Krestnikov, Konstantin
Published: (2026)
by: Krestnikov, Konstantin
Published: (2026)
Council Mode: A Heterogeneous Multi-Agent Consensus Framework for Reducing LLM Hallucination and Bias
by: Wu, Shuai, et al.
Published: (2026)
by: Wu, Shuai, et al.
Published: (2026)
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)
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)
Unleashing LLMs in Bayesian Optimization: Preference-Guided Framework for Scientific Discovery
by: Yuan, Xinzhe, et al.
Published: (2026)
by: Yuan, Xinzhe, et al.
Published: (2026)
Survey Transfer Learning: Recycling Data with Silicon Responses
by: Amini, Ali
Published: (2025)
by: Amini, Ali
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)
Whether, Not Which: Mechanistic Interpretability Reveals Dissociable Affect Reception and Emotion Categorization in LLMs
by: Keeman, Michael
Published: (2026)
by: Keeman, Michael
Published: (2026)
Social Cooperation in Conversational AI Agents
by: Çelikok, Mustafa Mert, et al.
Published: (2025)
by: Çelikok, Mustafa Mert, et al.
Published: (2025)
ATANT: An Evaluation Framework for AI Continuity
by: Tanguturi, Samuel Sameer
Published: (2026)
by: Tanguturi, Samuel Sameer
Published: (2026)
On the Limits of Learned Importance Scoring for KV Cache Compression
by: Steele, Brady
Published: (2026)
by: Steele, Brady
Published: (2026)
Ask WhAI:Probing Belief Formation in Role-Primed LLM Agents
by: Moore, Keith, et al.
Published: (2025)
by: Moore, Keith, et al.
Published: (2025)
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)
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)
How Pruning Reshapes Features: Sparse Autoencoder Analysis of Weight-Pruned Language Models
by: Borobia, Hector, et al.
Published: (2026)
by: Borobia, Hector, et al.
Published: (2026)
Eyla: Toward an Identity-Anchored LLM Architecture with Integrated Biological Priors -- Vision, Implementation Attempt, and Lessons from AI-Assisted Development
by: Aditto, Arif
Published: (2026)
by: Aditto, Arif
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)
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)
Leveraging Natural Language Processing and Machine Learning for Evidence-Based Food Security Policy Decision-Making in Data-Scarce Making
by: Singh, Karan Kumar, et al.
Published: (2026)
by: Singh, Karan Kumar, et al.
Published: (2026)
Self-Training Doesn't Flatten Language -- It Restructures It: Surface Markers Amplify While Deep Syntax Dies
by: Liu, Ming
Published: (2026)
by: Liu, Ming
Published: (2026)
Shallow Robustness, Deep Vulnerabilities: Multi-Turn Evaluation of Medical LLMs
by: Manczak, Blazej, et al.
Published: (2025)
by: Manczak, Blazej, et al.
Published: (2025)
Amazon Nova AI Challenge -- Trusted AI: Advancing secure, AI-assisted software development
by: Sahai, Sattvik, et al.
Published: (2025)
by: Sahai, Sattvik, et al.
Published: (2025)
The Drill-Down and Fabricate Test (DDFT): A Protocol for Measuring Epistemic Robustness in Language Models
by: Baxi, Rahul
Published: (2025)
by: Baxi, Rahul
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)
Less is More: Learning Graph Tasks with Just LLMs
by: Shirai, Sola, et al.
Published: (2025)
by: Shirai, Sola, et al.
Published: (2025)
Similar Items
-
Quantization Undoes Alignment: Bias Emergence in Compressed LLMs Across Models and Precision Levels
by: Rath, Plawan Kumar, et al.
Published: (2026) -
Instruction-Level Weight Shaping: A Framework for Self-Improving AI Agents
by: Costa, Rimom
Published: (2025) -
CoE: Collaborative Entropy for Uncertainty Quantification in Agentic Multi-LLM Systems
by: Sun, Kangkang, et al.
Published: (2026) -
FastForward Pruning: Efficient LLM Pruning via Single-Step Reinforcement Learning
by: Yuan, Xin, et al.
Published: (2025) -
Entropy-Based Measurement of Value Drift and Alignment Work in Large Language Models
by: Fadli, Samih
Published: (2025)