← authors · overview

• The What, Why, and How of Context Length Extension Techniques in Large Language Models -- A Detailed Survey
  2024 · 6 citations
• A Comprehensive Dataset for Human vs. AI Generated Text Detection
  2025 · 1 citations
• SPINAL -- Scaling-law and Preference Integration in Neural Alignment Layers
  2026
• CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation
  2026
• DPO Kernels: A Semantically-Aware, Kernel-Enhanced, and Divergence-Rich Paradigm for Direct Preference Optimization
  2025
• Alignment Quality Index (AQI) : Beyond Refusals: AQI as an Intrinsic Alignment Diagnostic via Latent Geometry, Cluster Divergence, and Layer wise Pooled Representations
  2025
• TRACEALIGN -- Tracing the Drift: Attributing Alignment Failures to Training-Time Belief Sources in LLMs
  2025
• AlignGuard-LoRA: Alignment-Preserving Fine-Tuning via Fisher-Guided Decomposition and Riemannian-Geodesic Collision Regularization
  2025
• AMBEDKAR-A Multi-level Bias Elimination through a Decoding Approach with Knowledge Augmentation for Robust Constitutional Alignment of Language Models
  2025
• Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs
  2024
• Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting
  2024