Academic

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Academic · 1 min

An Online Machine Learning Multi-resolution Optimization Framework for Energy System Design Limit of Performance Analysis

arXiv:2604.01308v1 Announce Type: new Abstract: Designing reliable integrated energy systems for industrial processes requires optimization and verification models across multiple fidelities, from architecture-level sizing to …

Oluwamayowa O. Amusat, Luka Grbcic, Remi Patureau, M. Jibran S. Zuberi, Dan Gunter, Michael Wetter

80 views Apr 3

Academic · 1 min

Beyond Logit Adjustment: A Residual Decomposition Framework for Long-Tailed Reranking

arXiv:2604.01506v1 Announce Type: new Abstract: Long-tailed classification, where a small number of frequent classes dominate many rare ones, remains challenging because models systematically favor frequent …

Zhanliang Wang, Hongzhuo Chen, Quan Minh Nguyen, Mian Umair Ahsan, Kai Wang

80 views Apr 3

Academic · 1 min

When Reward Hacking Rebounds: Understanding and Mitigating It with Representation-Level Signals

arXiv:2604.01476v1 Announce Type: new Abstract: Reinforcement learning for LLMs is vulnerable to reward hacking, where models exploit shortcuts to maximize reward without solving the intended …

Rui Wu, Ruixiang Tang

32 views Apr 3

Academic · 1 min

Pseudo-Quantized Actor-Critic Algorithm for Robustness to Noisy Temporal Difference Error

arXiv:2604.01613v1 Announce Type: new Abstract: In reinforcement learning (RL), temporal difference (TD) errors are widely adopted for optimizing value and policy functions. However, since the …

Taisuke Kobayashi

65 views Apr 3

Academic · 1 min

Improving Latent Generalization Using Test-time Compute

arXiv:2604.01430v1 Announce Type: new Abstract: Language Models (LMs) exhibit two distinct mechanisms for knowledge acquisition: in-weights learning (i.e., encoding information within the model weights) and …

Arslan Chaudhry, Sridhar Thiagarajan, Andrew Lampinen

36 views Apr 3

Academic · 1 min

MATA-Former & SIICU: Semantic Aware Temporal Alignment for High-Fidelity ICU Risk Prediction

arXiv:2604.01727v1 Announce Type: new Abstract: Forecasting evolving clinical risks relies on intrinsic pathological dependencies rather than mere chronological proximity, yet current methods struggle with coarse …

Zhichong Zheng, Xiaohang Nie, Xueqi Wang, Yuanjin Zhao, Haitao Zhang, Yichao Tang

57 views Apr 3

Academic · 1 min

How Emotion Shapes the Behavior of LLMs and Agents: A Mechanistic Study

arXiv:2604.00005v1 Announce Type: new Abstract: Emotion plays an important role in human cognition and performance. Motivated by this, we investigate whether analogous emotional signals can …

Moran Sun, Tianlin Li, Yuwei Zheng, Zhenhong Zhou, Aishan Liu, Xianglong Liu, Yang Liu

24 views Apr 3

Academic · 1 min

Signals: Trajectory Sampling and Triage for Agentic Interactions

arXiv:2604.00356v1 Announce Type: new Abstract: Agentic applications based on large language models increasingly rely on multi-step interaction loops involving planning, action execution, and environment feedback. …

Shuguang Chen, Adil Hafeez, Salman Paracha

136 views Apr 3

Academic · 1 min

Frege in the Flesh: Biolinguistics and the Neural Enforcement of Syntactic Structures

arXiv:2604.00291v1 Announce Type: new Abstract: Biolinguistics is the interdisciplinary scientific study of the biological foundations, evolution, and genetic basis of human language. It treats language …

Elliot Murphy

37 views Apr 3

Academic · 1 min

Agent psychometrics: Task-level performance prediction in agentic coding benchmarks

arXiv:2604.00594v1 Announce Type: new Abstract: As the focus in LLM-based coding shifts from static single-step code generation to multi-step agentic interaction with tools and environments, …

Chris Ge, Daria Kryvosheieva, Daniel Fried, Uzay Girit, Kaivalya Hariharan

24 views Apr 3

Academic · 1 min

Asymmetric Actor-Critic for Multi-turn LLM Agents

arXiv:2604.00304v1 Announce Type: new Abstract: Large language models (LLMs) exhibit strong reasoning and conversational abilities, but ensuring reliable behavior in multi-turn interactions remains challenging. In …

Shuli Jiang, Zhaoyang Zhang, Yi Zhang, Shuo Yang, Wei Xia, Stefano Soatto

46 views Apr 3

Academic · 1 min

Can Large Language Models Self-Correct in Medical Question Answering? An Exploratory Study

arXiv:2604.00261v2 Announce Type: new Abstract: Large language models (LLMs) have achieved strong performance on medical question answering (medical QA), and chain-of-thought (CoT) prompting has further …

Zaifu Zhan, Mengyuan Cui, Rui Zhang

51 views Apr 3

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Academic

An Online Machine Learning Multi-resolution Optimization Framework for Energy System Design Limit of Performance Analysis

Beyond Logit Adjustment: A Residual Decomposition Framework for Long-Tailed Reranking

When Reward Hacking Rebounds: Understanding and Mitigating It with Representation-Level Signals

Pseudo-Quantized Actor-Critic Algorithm for Robustness to Noisy Temporal Difference Error

Improving Latent Generalization Using Test-time Compute

MATA-Former & SIICU: Semantic Aware Temporal Alignment for High-Fidelity ICU Risk Prediction

How Emotion Shapes the Behavior of LLMs and Agents: A Mechanistic Study

Signals: Trajectory Sampling and Triage for Agentic Interactions

Frege in the Flesh: Biolinguistics and the Neural Enforcement of Syntactic Structures

Agent psychometrics: Task-level performance prediction in agentic coding benchmarks

Asymmetric Actor-Critic for Multi-turn LLM Agents

Can Large Language Models Self-Correct in Medical Question Answering? An Exploratory Study

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