:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Billa, Jayadev
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Computation and Language
Online Access:	https://arxiv.org/abs/2604.15557
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Modality Collapse as Mismatched Decoding: Information-Theoretic Limits of Multimodal LLMs
by: Billa, Jayadev
Published: (2026)

The Geometric Anatomy of Capability Acquisition in Transformers
by: Billa, Jayadev
Published: (2026)

Decomposing the Depth Profile of Fine-Tuning
by: Billa, Jayadev
Published: (2026)

When Audio-LLMs Don't Listen: A Cross-Linguistic Study of Modality Arbitration
by: Billa, Jayadev
Published: (2026)

The Cascade Equivalence Hypothesis: When Do Speech LLMs Behave Like ASR$\rightarrow$LLM Pipelines?
by: Billa, Jayadev
Published: (2026)

Beyond Steering Vector: Flow-based Activation Steering for Inference-Time Intervention
by: Jin, Zehao, et al.
Published: (2026)

White-Box Sensitivity Auditing with Steering Vectors
by: Cyberey, Hannah, et al.
Published: (2026)

VSPO: Vector-Steered Policy Optimization for Behavioral Control
by: Zhang, Xuechen, et al.
Published: (2026)

Beyond Multiple Choice: Evaluating Steering Vectors for Summarization
by: Braun, Joschka, et al.
Published: (2025)

Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs
by: Zhang, Qingru, et al.
Published: (2023)

Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization
by: Cao, Yuanpu, et al.
Published: (2024)

Steer2Adapt: Dynamically Composing Steering Vectors Elicits Efficient Adaptation of LLMs
by: Han, Pengrui, et al.
Published: (2026)

Improving Steering Vectors by Targeting Sparse Autoencoder Features
by: Chalnev, Sviatoslav, et al.
Published: (2024)

When and Why Does Unsupervised RL Succeed in Mathematical Reasoning? A Manifold Envelopment Perspective
by: Zhang, Zelin, et al.
Published: (2026)

Shifting Perspectives: Steering Vectors for Robust Bias Mitigation in LLMs
by: Siddique, Zara, et al.
Published: (2025)

No Training Wheels: Steering Vectors for Bias Correction at Inference Time
by: Gupta, Aviral, et al.
Published: (2025)

Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models
by: Puerto, Haritz, et al.
Published: (2024)

Understanding How CodeLLMs (Mis)Predict Types with Activation Steering
by: Lucchetti, Francesca, et al.
Published: (2024)

SteerConf: Steering LLMs for Confidence Elicitation
by: Zhou, Ziang, et al.
Published: (2025)

Understanding Unreliability of Steering Vectors in Language Models: Geometric Predictors and the Limits of Linear Approximations
by: Braun, Joschka
Published: (2026)

MorphNAS: Differentiable Architecture Search for Morphologically-Aware Multilingual NER
by: Devadiga, Prathamesh, et al.
Published: (2025)

Textual Steering Vectors Can Improve Visual Understanding in Multimodal Large Language Models
by: Gan, Woody Haosheng, et al.
Published: (2025)

In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering
by: Liu, Sheng, et al.
Published: (2023)

Conceptors for Semantic Steering
by: Triantafyllopoulos, Ilias, et al.
Published: (2026)

Fractional Reasoning via Latent Steering Vectors Improves Inference Time Compute
by: Liu, Sheng, et al.
Published: (2025)

Behavioral Steering in a 35B MoE Language Model via SAE-Decoded Probe Vectors: One Agency Axis, Not Five Traits
by: Yap, Jia Qing
Published: (2026)

Towards Understanding Steering Strength
by: Taimeskhanov, Magamed, et al.
Published: (2026)

Where is the signal in tokenization space?
by: Geh, Renato Lui, et al.
Published: (2024)

HyperSteer: Activation Steering at Scale with Hypernetworks
by: Sun, Jiuding, et al.
Published: (2025)

Steer Like the LLM: Activation Steering that Mimics Prompting
by: Heyman, Geert, et al.
Published: (2026)

Compositional Steering of Large Language Models with Steering Tokens
by: Radevski, Gorjan, et al.
Published: (2026)

Steering Language Models with Weight Arithmetic
by: Fierro, Constanza, et al.
Published: (2025)

Steering Language Models With Activation Engineering
by: Turner, Alexander Matt, et al.
Published: (2023)

A Unified Understanding and Evaluation of Steering Methods
by: Im, Shawn, et al.
Published: (2025)

ROAST: Rollout-based On-distribution Activation Steering Technique
by: Su, Xuanbo, et al.
Published: (2026)

Differentially Private Steering for Large Language Model Alignment
by: Goel, Anmol, et al.
Published: (2025)

What Drives Representation Steering? A Mechanistic Case Study on Steering Refusal
by: Cheng, Stephen, et al.
Published: (2026)

SteeringSafety: A Systematic Safety Evaluation Framework of Representation Steering in LLMs
by: Siu, Vincent, et al.
Published: (2025)

Compute Where it Counts: Self Optimizing Language Models
by: Akhauri, Yash, et al.
Published: (2026)

DSO: Direct Steering Optimization for Bias Mitigation
by: Paes, Lucas Monteiro, et al.
Published: (2025)