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Academic · 1 min

S-Path-RAG: Semantic-Aware Shortest-Path Retrieval Augmented Generation for Multi-Hop Knowledge Graph Question Answering

arXiv:2603.23512v1 Announce Type: new Abstract: We present S-Path-RAG, a semantic-aware shortest-path Retrieval-Augmented Generation framework designed to improve multi-hop question answering over large knowledge graphs. S-Path-RAG …

Rong Fu, Yemin Wang, Tianxiang Xu, Yongtai Liu, Weizhi Tang, Wangyu Wu, Xiaowen Ma, Simon Fong

99 views Mar 26

Academic · 1 min

Konkani LLM: Multi-Script Instruction Tuning and Evaluation for a Low-Resource Indian Language

arXiv:2603.23529v1 Announce Type: new Abstract: Large Language Models (LLMs) consistently under perform in low-resource linguistic contexts such as Konkani. This performance deficit stems from acute …

Reuben Chagas Fernandes, Gaurang S. Patkar

83 views Mar 26

Academic · 1 min

Navigating the Concept Space of Language Models

arXiv:2603.23524v1 Announce Type: new Abstract: Sparse autoencoders (SAEs) trained on large language model activations output thousands of features that enable mapping to human-interpretable concepts. The …

Wilson E. Marc\'ilio-Jr, Danilo M. Eler

102 views Mar 26

Academic · 1 min

MedMT-Bench: Can LLMs Memorize and Understand Long Multi-Turn Conversations in Medical Scenarios?

arXiv:2603.23519v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated impressive capabilities across various specialist domains and have been integrated into high-stakes areas such …

Lin Yang, Yuancheng Yang, Xu Wang, Changkun Liu, Haihua Yang

63 views Mar 26

Academic · 1 min

Cluster-R1: Large Reasoning Models Are Instruction-following Clustering Agents

arXiv:2603.23518v1 Announce Type: new Abstract: General-purpose embedding models excel at recognizing semantic similarities but fail to capture the characteristics of texts specified by user instructions. …

Peijun Qing, Puneet Mathur, Nedim Lipka, Varun Manjunatha, Ryan Rossi, Franck Dernoncourt, Saeed Hassanpour, Soroush Vosoughi

80 views Mar 26

Academic · 1 min

Qworld: Question-Specific Evaluation Criteria for LLMs

arXiv:2603.23522v1 Announce Type: new Abstract: Evaluating large language models (LLMs) on open-ended questions is difficult because response quality depends on the question's context. Binary scores …

Shanghua Gao, Yuchang Su, Pengwei Sui, Curtis Ginder, Marinka Zitnik

74 views Mar 26

Academic · 1 min

Prompt Compression in Production Task Orchestration: A Pre-Registered Randomized Trial

arXiv:2603.23525v1 Announce Type: new Abstract: The economics of prompt compression depend not only on reducing input tokens but on how compression changes output length, which …

Warren Johnson, Charles Lee

69 views Mar 26

Academic · 1 min

The Compression Paradox in LLM Inference: Provider-Dependent Energy Effects of Prompt Compression

arXiv:2603.23528v1 Announce Type: new Abstract: The rapid proliferation of Large Language Models has created an environmental paradox: the very technology that could help solve climate …

Warren Johnson

90 views Mar 26

Academic · 1 min

Leveraging Computerized Adaptive Testing for Cost-effective Evaluation of Large Language Models in Medical Benchmarking

arXiv:2603.23506v1 Announce Type: new Abstract: The rapid proliferation of large language models (LLMs) in healthcare creates an urgent need for scalable and psychometrically sound evaluation …

Tianpeng Zheng, Zhehan Jiang, Jiayi Liu, Shicong Feng

81 views Mar 26

Academic · 1 min

Did You Forget What I Asked? Prospective Memory Failures in Large Language Models

arXiv:2603.23530v1 Announce Type: new Abstract: Large language models often fail to satisfy formatting instructions when they must simultaneously perform demanding tasks. We study this behaviour …

Avni Mittal

73 views Mar 26

Academic · 1 min

Large Language Models Unpack Complex Political Opinions through Target-Stance Extraction

arXiv:2603.23531v1 Announce Type: new Abstract: Political polarization emerges from a complex interplay of beliefs about policies, figures, and issues. However, most computational analyses reduce discourse …

\"Ozg\"ur Togay, Florian Kunneman, Javier Garcia-Bernardo, Anastasia Giachanou

68 views Mar 26

Academic · 1 min

Generating Hierarchical JSON Representations of Scientific Sentences Using LLMs

arXiv:2603.23532v1 Announce Type: new Abstract: This paper investigates whether structured representations can preserve the meaning of scientific sentences. To test this, a lightweight LLM is …

Satya Sri Rajiteswari Nimmagadda, Ethan Young, Niladri Sengupta, Ananya Jana, Aniruddha Maiti

73 views Mar 26

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Articles

S-Path-RAG: Semantic-Aware Shortest-Path Retrieval Augmented Generation for Multi-Hop Knowledge Graph Question Answering

Konkani LLM: Multi-Script Instruction Tuning and Evaluation for a Low-Resource Indian Language

Navigating the Concept Space of Language Models

MedMT-Bench: Can LLMs Memorize and Understand Long Multi-Turn Conversations in Medical Scenarios?

Cluster-R1: Large Reasoning Models Are Instruction-following Clustering Agents

Qworld: Question-Specific Evaluation Criteria for LLMs

Prompt Compression in Production Task Orchestration: A Pre-Registered Randomized Trial

The Compression Paradox in LLM Inference: Provider-Dependent Energy Effects of Prompt Compression

Leveraging Computerized Adaptive Testing for Cost-effective Evaluation of Large Language Models in Medical Benchmarking

Did You Forget What I Asked? Prospective Memory Failures in Large Language Models

Large Language Models Unpack Complex Political Opinions through Target-Stance Extraction

Generating Hierarchical JSON Representations of Scientific Sentences Using LLMs

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