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Ahmed E. Hassan

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Beyond Tokens: Semantic-Aware Speculative Decoding for Efficient Inference by Probing Internal States

SemanticSpec introduces a semantic probability estimation mechanism that probes the model's internal hidden states to assess the likelihood of generating sequences with specific meanings, and proposes SemanticSpec, a semantic-aware speculative decoding framework that verifies entire semantic sequences instead of tokens...

Xi-Ming Dong, Shao-Wei Wang, Dayi Lin et al. · 3 citations
#natural language process... Preprint Sep 2026

What Does an Agentic Software Engineering Benchmark Measure? Profiling Task Demands and Agent Behaviour Beyond What Category Labels Reveal

The Spread--Novelty--Centrality (SNC) profile is introduced, a three-axis characterization of the demands of repository-level coding tasks, grounded in empirical software engineering research, and an unreliable proxy for task demands is introduced.

Radin Shayanfar, Keheliya Gallaba, Ahmed E. Hassan · 2 citations
Jul 2026

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis

MindForge is introduced, an automated pipeline that converts open-source command-line programs into source-free environments that expose only a compiled reference executable and its documentation that consistently improves over the base model across all seven unseen software engineering benchmarks, spanning long-horizo...

Yihao Chen, Shi Chang, Khaled Chawa et al. · 0 citations
#artificial intelligence Preprint Aug 2026

LLM Post-Training as Brownfield Maintenance: An Industrial Perspective on Dataware Engineering

From an industrial code-generation improvement effort, a maintainer's perspective on why this work is hard in practice is offered, distilling three recurring challenges, zero-sum mixture design, yield as the binding metric, and end-to-end integration under uncertainty, and arguing that progress depends less on one-off...

Gopi Krishnan Rajbahadur, A. M. Ebrahimi, Boyuan Chen et al. · 0 citations
Book Open access Jul 2026

LLMSafeGuard: A Training-Free Framework for Safeguarding LLM Decoding via Context-Wise Similarity Validation

This work proposes LLMSafeGuard, a lightweight real-time framework that integrates an external validator into decoding, rejecting unsafe outputs while allowing valid ones, and introduces a similarity-based validation approach, simplifying safety constraint validation and eliminating the need for external control model...

Ximing Dong, Shaowei Wang, Dayi Lin et al. · 0 citations

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