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cs.LG2026

ORBIT-FMIB: Tracking Order-Resolved Epistatic Information Through ESM-2

Maryam Rahimimovassagh, Ivan Garibay, Niloofar Yousefi

Protein foundation models support mutation-effect and structural prediction, but predictive performance alone does not reveal which forms of biological interaction information rema…

cs.LG2026

One pool, many targets: a conservation layer and what archival data can identify

Zahra Khodagholi, Niloofar Yousefi

Pairwise guide--transcript scores do not enforce conservation of a finite guide-loaded RISC pool when they are interpreted independently as occupancies. We formulate a differentiab…

cs.LG2026

Representable but Unlearned: Encoding Rank and the Interaction-Prediction Floor

Zahra Khodagholi, Niloofar Yousefi

Input encodings can restrict which measured contrasts a predictor can jointly reproduce, even when no single contrast is forced to vanish. We compute the attainable contrast space…

cs.AI2026

Agreement Overstates Evidence: Error Dependence in LLM Judge Consensus

Elias Hossain, Niloofar Yousefi, Ser-Nam Lim

Consensus among LLM judges is often taken as strong evidence that a decision is correct. This assumes that judges make their errors independently. In practice, LLM judges are often…

cs.LG2026

A Decision-Support Audit Protocol for Supervision Drift in Proxy-Labeled Credit-Risk Prediction

Mehrdad Shoeibi, Muhammad Shabanpour, Waldemar Karwowski +1

Credit-risk models are trained on proxy labels and deployed under temporal and segment change, yet no single transfer metric separates base-rate shift, probability-scale shift, and…

cs.LG2026

Can We Trust In-Distribution Success? Locked Evaluation Reveals Transfer Failure and Sampling-Depth Entanglement in CRISPRi Perturbation Prediction

Mehrdad Shoeibi, Niloofar Yousefi

AI evaluation can support the wrong inference when an in-domain benchmark success does not survive distribution shift, or when the benchmark endpoint is entangled with a design fac…

q-bio.QM2026

Beyond Tokens: Probing Higher-Order Epistasis in Learned Protein Representations

Maryam Rahimimovassagh, Ivan Garibay, Niloofar Yousefi

Protein fitness landscapes contain nonlinear interactions in which mutation effects depend on other residues. We introduce ORBIT, an Order-Resolved Benchmarking of Interaction Tran…

q-bio.OT2026

Pre-Registered External Evaluation Yields a Consistent Partial-Replication Category across Three Transcriptomic Foundation Models

Mehrdad Shoeibi, Niloofar Yousefi

Transcriptomic foundation models are increasingly used as reusable cell and gene representations, but validating them on new data under weak supervision and distribution shift is h…

cs.LG2026

BRIDGE: Bottleneck-Aware Regulator-Set Inference and Diagnosis for Cooperative Gene Regulatory Recovery

Maryam Rahimimovassagh, Clayton Thomas Barham, Ivan Garibay +1

Cooperative gene regulation often depends on groups of regulators acting jointly, but most gene regulatory network (GRN) inference methods output pairwise regulator-target rankings…

cs.LG2026

MotifRole-Diff: Risk-Optimal Role-Aware Corruption for Masked Molecular Graph Diffusion

Tasfia Nuzhat Ornee, Elias Hossain, Ivan Garibay +1

Masked discrete diffusion for molecular graph generation typically applies a uniform corruption schedule to all tokens in a lossless graph-to-sequence representation, implicitly tr…

cs.LG2026

Adaptive Multi-Expert Graph Transformer for Interpretable EEG-Based Diagnostics

Maryam Rahimimovassagh, Md Elias Hossain, Ivan Garibay +1

Electroencephalographic (EEG) abnormalities arise from dynamic changes in neural synchrony across spatial and temporal scales, yet many computational approaches reduce these dynami…

cs.AI2026

NEXUS: Structured Runtime Safety for Tool-Using LLM Agents

Elias Hossain, Md Mehedi Hasan Nipu, Tasfia Nuzhat Ornee +2

Tool-using LLM agents increasingly execute high-impact actions, making runtime safety monitoring essential. We present NEXUS (Neural EXecution Utility and Safety), a structured-pla…

cs.LG2026

Right Knowledge, Wrong Answer: Characterizing Parametric Temporal Conflict in Open-Weight Language Models

Elias Hossain, Sourav Saha, Tasfia Nuzhat Ornee +5

Language models may encode both outdated facts and their newer replacements. We introduce Parametric Temporal Conflict (PTC), where the newer fact is present and recoverable, but t…

cs.CL2026

BioDivergence: A Benchmark and Evaluation Framework for Hidden Contextual Contradictions in Biomedical Abstracts

Elias Hossain, Sanjeda Sara Jennifer, Sabera Akter Bushra +1

Biomedical findings often seem to conflict across studies, but many of these differences are context-dependent rather than true contradictions. Variations in cohort, geography, ass…

cs.LG2026

When Policies Cannot Be Retrained: A Unified Closed-Form View of Post-Training Steering in Offline Reinforcement Learning

Elias Hossain, Mohammad Jahid Ibna Basher, Ivan Garibay +2

Offline reinforcement learning (RL) can learn effective policies from fixed datasets, but deployment objectives may change after training, and in many applications the trained acto…

cs.AI2026

UAT-LITE: Inference-Time Uncertainty-Aware Attention for Pretrained Transformers

Elias Hossain, Shubhashis Roy Dipta, Subash Neupane +4

Neural NLP models are often miscalibrated and overconfident, assigning high confidence to incorrect predictions and failing to express uncertainty during internal evidence aggregat…