ProSocialAlign: Preference Conditioned Test Time Alignment in Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Banerjee, Somnath, Layek, Sayan, Adak, Sayantan, Pechenizkiy, Mykola, Mukherjee, Animesh, Hazra, Rima |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MemeSense: An Adaptive In-Context Framework for Social Commonsense Driven Meme Moderation
by: Adak, Sayantan, et al.
Published: (2025)
by: Adak, Sayantan, et al.
Published: (2025)
Soteria: Language-Specific Functional Parameter Steering for Multilingual Safety Alignment
by: Banerjee, Somnath, et al.
Published: (2025)
by: Banerjee, Somnath, et al.
Published: (2025)
SafeInfer: Context Adaptive Decoding Time Safety Alignment for Large Language Models
by: Banerjee, Somnath, et al.
Published: (2024)
by: Banerjee, Somnath, et al.
Published: (2024)
How (un)ethical are instruction-centric responses of LLMs? Unveiling the vulnerabilities of safety guardrails to harmful queries
by: Banerjee, Somnath, et al.
Published: (2024)
by: Banerjee, Somnath, et al.
Published: (2024)
Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations
by: Hazra, Rima, et al.
Published: (2024)
by: Hazra, Rima, et al.
Published: (2024)
AURA: Affordance-Understanding and Risk-aware Alignment Technique for Large Language Models
by: Adak, Sayantan, et al.
Published: (2025)
by: Adak, Sayantan, et al.
Published: (2025)
Bridging the Multilingual Safety Divide: Efficient, Culturally-Aware Alignment for Global South Languages
by: Banerjee, Somnath, et al.
Published: (2026)
by: Banerjee, Somnath, et al.
Published: (2026)
Sowing the Wind, Reaping the Whirlwind: The Impact of Editing Language Models
by: Hazra, Rima, et al.
Published: (2024)
by: Hazra, Rima, et al.
Published: (2024)
Context Matters: Pushing the Boundaries of Open-Ended Answer Generation with Graph-Structured Knowledge Context
by: Banerjee, Somnath, et al.
Published: (2024)
by: Banerjee, Somnath, et al.
Published: (2024)
Attributional Safety Failures in Large Language Models under Code-Mixed Perturbations
by: Banerjee, Somnath, et al.
Published: (2025)
by: Banerjee, Somnath, et al.
Published: (2025)
Breaking Boundaries: Investigating the Effects of Model Editing on Cross-linguistic Performance
by: Banerjee, Somnath, et al.
Published: (2024)
by: Banerjee, Somnath, et al.
Published: (2024)
SafeTutors: Benchmarking Pedagogical Safety in AI Tutoring Systems
by: Hazra, Rima, et al.
Published: (2026)
by: Hazra, Rima, et al.
Published: (2026)
Lost in Interpretation: The Plausibility-Faithfulness Trade-off in Cross-Lingual Explanations
by: Banerjee, Somnath, et al.
Published: (2026)
by: Banerjee, Somnath, et al.
Published: (2026)
Navigating the Cultural Kaleidoscope: A Hitchhiker's Guide to Sensitivity in Large Language Models
by: Banerjee, Somnath, et al.
Published: (2024)
by: Banerjee, Somnath, et al.
Published: (2024)
RA-MTR: A Retrieval Augmented Multi-Task Reader based Approach for Inspirational Quote Extraction from Long Documents
by: Adak, Sayantan, et al.
Published: (2025)
by: Adak, Sayantan, et al.
Published: (2025)
Evaluating the Ebb and Flow: An In-depth Analysis of Question-Answering Trends across Diverse Platforms
by: Hazra, Rima, et al.
Published: (2023)
by: Hazra, Rima, et al.
Published: (2023)
DistALANER: Distantly Supervised Active Learning Augmented Named Entity Recognition in the Open Source Software Ecosystem
by: Banerjee, Somnath, et al.
Published: (2024)
by: Banerjee, Somnath, et al.
Published: (2024)
SafeMath: Inference-time Safety improves Math Accuracy
by: Basu, Sagnik, et al.
Published: (2026)
by: Basu, Sagnik, et al.
Published: (2026)
TEXT2AFFORD: Probing Object Affordance Prediction abilities of Language Models solely from Text
by: Adak, Sayantan, et al.
Published: (2024)
by: Adak, Sayantan, et al.
Published: (2024)
REVERSUM: A Multi-staged Retrieval-Augmented Generation Method to Enhance Wikipedia Tail Biographies through Personal Narratives
by: Adak, Sayantan, et al.
Published: (2025)
by: Adak, Sayantan, et al.
Published: (2025)
Redefining Developer Assistance: Through Large Language Models in Software Ecosystem
by: Banerjee, Somnath, et al.
Published: (2023)
by: Banerjee, Somnath, et al.
Published: (2023)
Duplicate Question Retrieval and Confirmation Time Prediction in Software Communities
by: Hazra, Rima, et al.
Published: (2023)
by: Hazra, Rima, et al.
Published: (2023)
From Fluent to Verifiable: Claim-Level Auditability for Deep Research Agents
by: Rasheed, Razeen A, et al.
Published: (2026)
by: Rasheed, Razeen A, et al.
Published: (2026)
InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks
by: Banerjee, Somnath, et al.
Published: (2024)
by: Banerjee, Somnath, et al.
Published: (2024)
Tutoring Large Language Models to be Domain-adaptive, Precise, and Safe
by: Banerjee, Somnath
Published: (2026)
by: Banerjee, Somnath
Published: (2026)
Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data
by: Raes, Rik, et al.
Published: (2024)
by: Raes, Rik, et al.
Published: (2024)
On Adversarial Robustness of Language Models in Transfer Learning
by: Turbal, Bohdan, et al.
Published: (2024)
by: Turbal, Bohdan, et al.
Published: (2024)
Turning Logic Against Itself : Probing Model Defenses Through Contrastive Questions
by: Sachdeva, Rachneet, et al.
Published: (2025)
by: Sachdeva, Rachneet, et al.
Published: (2025)
MetaAlign: Align Large Language Models with Diverse Preferences during Inference Time
by: Zhang, Mozhi, et al.
Published: (2024)
by: Zhang, Mozhi, et al.
Published: (2024)
One Model for All: Multi-Objective Controllable Language Models
by: He, Qiang, et al.
Published: (2026)
by: He, Qiang, et al.
Published: (2026)
Large Language Models Are Neurosymbolic Reasoners
by: Fang, Meng, et al.
Published: (2024)
by: Fang, Meng, et al.
Published: (2024)
AlignSurvey: A Comprehensive Benchmark for Human Preferences Alignment in Social Surveys
by: Lin, Chenxi, et al.
Published: (2025)
by: Lin, Chenxi, et al.
Published: (2025)
AlignTune: Modular Toolkit for Post-Training Alignment of Large Language Models
by: Lyngkhoi, R E Zera Marveen, et al.
Published: (2026)
by: Lyngkhoi, R E Zera Marveen, et al.
Published: (2026)
Preference-Guided Reflective Sampling for Aligning Language Models
by: Ye, Hai, et al.
Published: (2024)
by: Ye, Hai, et al.
Published: (2024)
Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback
by: Li, Yafu, et al.
Published: (2025)
by: Li, Yafu, et al.
Published: (2025)
Aligning Large Language Models with Searcher Preferences
by: Wu, Wei, et al.
Published: (2026)
by: Wu, Wei, et al.
Published: (2026)
Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models
by: Gu, Yanggan, et al.
Published: (2025)
by: Gu, Yanggan, et al.
Published: (2025)
LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Preference Optimization
by: Li, Junsong, et al.
Published: (2025)
by: Li, Junsong, et al.
Published: (2025)
MuBench: Assessment of Multilingual Capabilities of Large Language Models Across 61 Languages
by: Han, Wenhan, et al.
Published: (2025)
by: Han, Wenhan, et al.
Published: (2025)
Cost-Performance Optimization for Processing Low-Resource Language Tasks Using Commercial LLMs
by: Nag, Arijit, et al.
Published: (2024)
by: Nag, Arijit, et al.
Published: (2024)
Similar Items
-
MemeSense: An Adaptive In-Context Framework for Social Commonsense Driven Meme Moderation
by: Adak, Sayantan, et al.
Published: (2025) -
Soteria: Language-Specific Functional Parameter Steering for Multilingual Safety Alignment
by: Banerjee, Somnath, et al.
Published: (2025) -
SafeInfer: Context Adaptive Decoding Time Safety Alignment for Large Language Models
by: Banerjee, Somnath, et al.
Published: (2024) -
How (un)ethical are instruction-centric responses of LLMs? Unveiling the vulnerabilities of safety guardrails to harmful queries
by: Banerjee, Somnath, et al.
Published: (2024) -
Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations
by: Hazra, Rima, et al.
Published: (2024)