Academic

Academic · 1 min

Understanding the Challenges in Iterative Generative Optimization with LLMs

arXiv:2603.23994v1 Announce Type: new Abstract: Generative optimization uses large language models (LLMs) to iteratively improve artifacts (such as code, workflows or prompts) using execution feedback. …

Allen Nie, Xavier Daull, Zhiyi Kuang, Abhinav Akkiraju, Anish Chaudhuri, Max Piasevoli, Ryan Rong, YuCheng Yuan, Prerit Choudhary, Shannon Xiao, Rasool Fakoor, Adith Swaminathan, Ching-An Cheng

0 views Mar 26

Academic · 1 min

Stochastic Dimension-Free Zeroth-Order Estimator for High-Dimensional and High-Order PINNs

arXiv:2603.24002v1 Announce Type: new Abstract: Physics-Informed Neural Networks (PINNs) for high-dimensional and high-order partial differential equations (PDEs) are primarily constrained by the $\mathcal{O}(d^k)$ spatial derivative …

Zhangyong Liang, Ji Zhang

3 views Mar 26

Academic · 1 min

i-IF-Learn: Iterative Feature Selection and Unsupervised Learning for High-Dimensional Complex Data

arXiv:2603.24025v1 Announce Type: new Abstract: Unsupervised learning of high-dimensional data is challenging due to irrelevant or noisy features obscuring underlying structures. It's common that only …

Chen Ma, Wanjie Wang, Shuhao Fan

6 views Mar 26

Academic · 1 min

Lagrangian Relaxation Score-based Generation for Mixed Integer linear Programming

arXiv:2603.24033v1 Announce Type: new Abstract: Predict-and-search (PaS) methods have shown promise for accelerating mixed-integer linear programming (MILP) solving. However, existing approaches typically assume variable independence …

Ruobing Wang, Xin Li, Yujie Fang, Mingzhong Wang

0 views Mar 26

Academic · 1 min

PRISM: A Dual View of LLM Reasoning through Semantic Flow and Latent Computation

arXiv:2603.22754v1 Announce Type: new Abstract: Large language models (LLMs) solve complex problems by generating multi-step reasoning traces. Yet these traces are typically analyzed from only …

Ruidi Chang, Jiawei Zhou, Hanjie Chen

36 views Mar 25

Academic · 1 min

Explanation Generation for Contradiction Reconciliation with LLMs

arXiv:2603.22735v1 Announce Type: new Abstract: Existing NLP work commonly treats contradictions as errors to be resolved by choosing which statements to accept or discard. Yet …

Jason Chan, Zhixue Zhao, Robert Gaizauskas

30 views Mar 25

Academic · 1 min

How Utilitarian Are OpenAI's Models Really? Replicating and Reinterpreting Pfeffer, Kr\"ugel, and Uhl (2025)

arXiv:2603.22730v1 Announce Type: new Abstract: Pfeffer, Kr\"ugel, and Uhl (2025) report that OpenAI's reasoning model o1-mini produces more utilitarian responses to the trolley problem and …

Johannes Himmelreich

44 views Mar 25

Academic · 1 min

Who Spoke What When? Evaluating Spoken Language Models for Conversational ASR with Semantic and Overlap-Aware …

arXiv:2603.22709v1 Announce Type: new Abstract: Conversational automatic speech recognition remains challenging due to overlapping speech, far-field noise, and varying speaker counts. While recent LLM-based systems …

Naohiro Tawara, Samuele Cornell, Alexander Polok, Marc Delcroix, Luk\'a\v{s} Burget, Shinji Watanabe

76 views Mar 25

Academic · 1 min

Detecting Non-Membership in LLM Training Data via Rank Correlations

arXiv:2603.22707v1 Announce Type: new Abstract: As large language models (LLMs) are trained on increasingly vast and opaque text corpora, determining which data contributed to training …

Pranav Shetty, Mirazul Haque, Zhiqiang Ma, Xiaomo Liu

19 views Mar 25

Academic · 1 min

Synthetic or Authentic? Building Mental Patient Simulators from Longitudinal Evidence

arXiv:2603.22704v1 Announce Type: new Abstract: Patient simulation is essential for developing and evaluating mental health dialogue systems. As most existing approaches rely on snapshot-style prompts …

Baihan Li, Bingrui Jin, Kunyao Lan, Ming Wang, Mengyue Wu

14 views Mar 25

Academic · 1 min

Improving LLM Predictions via Inter-Layer Structural Encoders

arXiv:2603.22665v1 Announce Type: new Abstract: The standard practice in Large Language Models (LLMs) is to base predictions on the final-layer token representations. Recent studies, however, …

Tom Ulanovski (Tel Aviv University), Eyal Blyachman (Tel Aviv University), Maya Bechler-Speicher (Meta)

11 views Mar 25

Academic · 1 min

Multi-Method Validation of Large Language Model Medical Translation Across High- and Low-Resource Languages

arXiv:2603.22642v1 Announce Type: new Abstract: Language barriers affect 27.3 million U.S. residents with non-English language preference, yet professional medical translation remains costly and often unavailable. …

Chukwuebuka Anyaegbuna, Eduardo Juan Perez Guerrero, Jerry Liu, Timothy Keyes, April Liang, Natasha Steele, Stephen Ma, Jonathan Chen, Kevin Schulman

10 views Mar 25

Understanding the Challenges in Iterative Generative Optimization with LLMs

Stochastic Dimension-Free Zeroth-Order Estimator for High-Dimensional and High-Order PINNs

i-IF-Learn: Iterative Feature Selection and Unsupervised Learning for High-Dimensional Complex Data

Lagrangian Relaxation Score-based Generation for Mixed Integer linear Programming

PRISM: A Dual View of LLM Reasoning through Semantic Flow and Latent Computation

Explanation Generation for Contradiction Reconciliation with LLMs

How Utilitarian Are OpenAI's Models Really? Replicating and Reinterpreting Pfeffer, Kr\"ugel, and Uhl (2025)

Who Spoke What When? Evaluating Spoken Language Models for Conversational ASR with Semantic and Overlap-Aware …

Detecting Non-Membership in LLM Training Data via Rank Correlations

Synthetic or Authentic? Building Mental Patient Simulators from Longitudinal Evidence

Improving LLM Predictions via Inter-Layer Structural Encoders

Multi-Method Validation of Large Language Model Medical Translation Across High- and Low-Resource Languages

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