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Academic · 1 min

TDA-RC: Task-Driven Alignment for Knowledge-Based Reasoning Chains in Large Language Models

arXiv:2604.04942v1 Announce Type: new Abstract: Enhancing the reasoning capability of large language models (LLMs) remains a core challenge in natural language processing. The Chain-of-Thought (CoT) …

Jiaquan Zhang, Qigan Sun, Chaoning Zhang, Xudong Wang, Zhenzhen Huang, Yitian Zhou, Pengcheng Zheng, Chi-lok Andy Tai, Sung-Ho Bae, Zeyu Ma, Caiyan Qin, Jinyu Guo, Yang Yang, Hengtao Shen

27 views Apr 8

Academic · 1 min

Just Pass Twice: Efficient Token Classification with LLMs for Zero-Shot NER

arXiv:2604.05158v1 Announce Type: new Abstract: Large language models encode extensive world knowledge valuable for zero-shot named entity recognition. However, their causal attention mechanism, where tokens …

Ahmed Ewais, Ahmed Hashish, Amr Ali

21 views Apr 8

Academic · 1 min

THIVLVC: Retrieval Augmented Dependency Parsing for Latin

arXiv:2604.05564v1 Announce Type: new Abstract: We describe THIVLVC, a two-stage system for the EvaLatin 2026 Dependency Parsing task. Given a Latin sentence, we retrieve structurally …

Luc Pommeret (STL), Thibault Wagret (ENS de Lyon, HiSoMA), Jules Deret

28 views Apr 8

Academic · 1 min

Same Graph, Different Likelihoods: Calibration of Autoregressive Graph Generators via Permutation-Equivalent Encodings

arXiv:2604.05613v1 Announce Type: new Abstract: Autoregressive graph generators define likelihoods via a sequential construction process, but these likelihoods are only meaningful if they are consistent …

Laurits Fredsgaard, Aaron Thomas, Michael Riis Andersen, Mikkel N. Schmidt, Mahito Sugiyama

54 views Apr 8

Academic · 1 min

On the Geometry of Positional Encodings in Transformers

arXiv:2604.05217v1 Announce Type: new Abstract: Neural language models process sequences of words, but the mathematical operations inside them are insensitive to the order in which …

Giansalvo Cirrincione

60 views Apr 8

Academic · 1 min

Graph of Skills: Dependency-Aware Structural Retrieval for Massive Agent Skills

arXiv:2604.05333v1 Announce Type: new Abstract: Skill usage has become a core component of modern agent systems and can substantially improve agents' ability to complete complex …

Dawei Li, Zongxia Li, Hongyang Du, Xiyang Wu, Shihang Gui, Yongbei Kuang, Lichao Sun

30 views Apr 8

Academic · 1 min

Bypassing the CSI Bottleneck: MARL-Driven Spatial Control for Reflector Arrays

arXiv:2604.05162v1 Announce Type: new Abstract: Reconfigurable Intelligent Surfaces (RIS) are pivotal for next-generation smart radio environments, yet their practical deployment is severely bottlenecked by the …

Hieu Le, Oguz Bedir, Mostafa Ibrahim, Jian Tao, Sabit Ekin

34 views Apr 8

Academic · 1 min

Weight-Informed Self-Explaining Clustering for Mixed-Type Tabular Data

arXiv:2604.05857v1 Announce Type: new Abstract: Clustering mixed-type tabular data is fundamental for exploratory analysis, yet remains challenging due to misaligned numerical-categorical representations, uneven and context-dependent …

Lehao Li, Qiang Huang, Yihao Ang, Bryan Kian Hsiang Low, Anthony K. H. Tung, Xiaokui Xiao

58 views Apr 8

Academic · 1 min

Efficient Inference for Large Vision-Language Models: Bottlenecks, Techniques, and Prospects

arXiv:2604.05546v1 Announce Type: new Abstract: Large Vision-Language Models (LVLMs) enable sophisticated reasoning over images and videos, yet their inference is hindered by a systemic efficiency …

Jun Zhang, Yicheng Ji, Feiyang Ren, Yihang Li, Bowen Zeng, Zonghao Chen, Ke Chen, Lidan Shou, Gang Chen, Huan Li

30 views Apr 8

Academic · 1 min

IntentScore: Intent-Conditioned Action Evaluation for Computer-Use Agents

arXiv:2604.05157v1 Announce Type: new Abstract: Computer-Use Agents (CUAs) leverage large language models to execute GUI operations on desktop environments, yet they generate actions without evaluating …

Rongqian Chen, Yu Li, Zeyu Fang, Sizhe Tang, Weidong Cao, Tian Lan

43 views Apr 8

Academic · 1 min

Exemplar Retrieval Without Overhypothesis Induction: Limits of Distributional Sequence Learning in Early Word Learning

arXiv:2604.05243v1 Announce Type: new Abstract: Background: Children do not simply learn that balls are round and blocks are square. They learn that shape is the …

Jon-Paul Cacioli

33 views Apr 8

Academic · 1 min

HYVE: Hybrid Views for LLM Context Engineering over Machine Data

arXiv:2604.05400v1 Announce Type: new Abstract: Machine data is central to observability and diagnosis in modern computing systems, appearing in logs, metrics, telemetry traces, and configuration …

Jian Tan, Fan Bu, Yuqing Gao, Dev Khanolkar, Jason Mackay, Boris Sobolev, Lei Jin, Li Zhang

50 views Apr 8

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Articles

TDA-RC: Task-Driven Alignment for Knowledge-Based Reasoning Chains in Large Language Models

Just Pass Twice: Efficient Token Classification with LLMs for Zero-Shot NER

THIVLVC: Retrieval Augmented Dependency Parsing for Latin

Same Graph, Different Likelihoods: Calibration of Autoregressive Graph Generators via Permutation-Equivalent Encodings

On the Geometry of Positional Encodings in Transformers

Graph of Skills: Dependency-Aware Structural Retrieval for Massive Agent Skills

Bypassing the CSI Bottleneck: MARL-Driven Spatial Control for Reflector Arrays

Weight-Informed Self-Explaining Clustering for Mixed-Type Tabular Data

Efficient Inference for Large Vision-Language Models: Bottlenecks, Techniques, and Prospects

IntentScore: Intent-Conditioned Action Evaluation for Computer-Use Agents

Exemplar Retrieval Without Overhypothesis Induction: Limits of Distributional Sequence Learning in Early Word Learning

HYVE: Hybrid Views for LLM Context Engineering over Machine Data

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