Academic

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Academic · 1 min

Mnemis: Dual-Route Retrieval on Hierarchical Graphs for Long-Term LLM Memory

arXiv:2602.15313v1 Announce Type: new Abstract: AI Memory, specifically how models organizes and retrieves historical messages, becomes increasingly valuable to Large Language Models (LLMs), yet existing …

Zihao Tang, Xin Yu, Ziyu Xiao, Zengxuan Wen, Zelin Li, Jiaxi Zhou, Hualei Wang, Haohua Wang, Haizhen Huang, Weiwei Deng, Feng Sun, Qi Zhang

5 views Feb 23

Academic · 1 min

NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering

arXiv:2602.15353v1 Announce Type: new Abstract: Large pretrained language models and neural reasoning systems have advanced many natural language tasks, yet they remain challenged by knowledge-intensive …

Rong Fu, Yang Li, Zeyu Zhang, Jiekai Wu, Yaohua Liu, Shuaishuai Cao, Yangchen Zeng, Yuhang Zhang, Xiaojing Du, Chuang Zhao, Kangning Cui, Simon Fong

5 views Feb 23

Academic · 1 min

Far Out: Evaluating Language Models on Slang in Australian and Indian English

arXiv:2602.15373v1 Announce Type: new Abstract: Language models exhibit systematic performance gaps when processing text in non-standard language varieties, yet their ability to comprehend variety-specific slang …

Deniz Kaya Dilsiz, Dipankar Srirag, Aditya Joshi

6 views Feb 23

Academic · 1 min

Orchestration-Free Customer Service Automation: A Privacy-Preserving and Flowchart-Guided Framework

arXiv:2602.15377v1 Announce Type: new Abstract: Customer service automation has seen growing demand within digital transformation. Existing approaches either rely on modular system designs with extensive …

Mengze Hong, Chen Jason Zhang, Zichang Guo, Hanlin Gu, Di Jiang, Li Qing

5 views Feb 23

Academic · 1 min

Making Large Language Models Speak Tulu: Structured Prompting for an Extremely Low-Resource Language

arXiv:2602.15378v1 Announce Type: new Abstract: Can large language models converse in languages virtually absent from their training data? We investigate this question through a case …

Prathamesh Devadiga, Paras Chopra

4 views Feb 23

Academic · 1 min

The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems

arXiv:2602.15382v1 Announce Type: new Abstract: Multi-Agent Systems (MAS) powered by Large Language Models have unlocked advanced collaborative reasoning, yet they remain shackled by the inefficiency …

Xiaoze Liu, Ruowang Zhang, Weichen Yu, Siheng Xiong, Liu He, Feijie Wu, Hoin Jung, Matt Fredrikson, Xiaoqian Wang, Jing Gao

6 views Feb 23

Academic · 1 min

Measuring Social Integration Through Participation: Categorizing Organizations and Leisure Activities in the Displaced Karelians Interview …

arXiv:2602.15436v1 Announce Type: new Abstract: Digitized historical archives make it possible to study everyday social life on a large scale, but the information extracted directly …

Joonatan Laato, Veera Schroderus, Jenna Kanerva, Jenni Kauppi, Virpi Lummaa, Filip Ginter

3 views Feb 23

Academic · 1 min

TAROT: Test-driven and Capability-adaptive Curriculum Reinforcement Fine-tuning for Code Generation with Large Language Models

arXiv:2602.15449v1 Announce Type: new Abstract: Large Language Models (LLMs) are changing the coding paradigm, known as vibe coding, yet synthesizing algorithmically sophisticated and robust code …

Chansung Park, Juyong Jiang, Fan Wang, Sayak Paul, Jiasi Shen, Jing Tang, Jianguo Li

8 views Feb 23

Academic · 1 min

In Agents We Trust, but Who Do Agents Trust? Latent Source Preferences Steer LLM Generations

arXiv:2602.15456v1 Announce Type: new Abstract: Agents based on Large Language Models (LLMs) are increasingly being deployed as interfaces to information on online platforms. These agents …

Mohammad Aflah Khan, Mahsa Amani, Soumi Das, Bishwamittra Ghosh, Qinyuan Wu, Krishna P. Gummadi, Manish Gupta, Abhilasha Ravichander

3 views Feb 23

Academic · 1 min

Towards Expectation Detection in Language: A Case Study on Treatment Expectations in Reddit

arXiv:2602.15504v1 Announce Type: new Abstract: Patients' expectations towards their treatment have a substantial effect on the treatments' success. While primarily studied in clinical settings, online …

Aswathy Velutharambath, Amelie W\"uhrl

3 views Feb 23

Academic · 1 min

LuxMT Technical Report

arXiv:2602.15506v1 Announce Type: new Abstract: We introduce LuxMT, a machine translation system based on Gemma 3 27B and fine-tuned for translation from Luxembourgish (LB) into …

Nils Rehlinger

3 views Feb 23

Academic · 1 min

Fine-Refine: Iterative Fine-grained Refinement for Mitigating Dialogue Hallucination

arXiv:2602.15509v1 Announce Type: new Abstract: The tendency for hallucination in current large language models (LLMs) negatively impacts dialogue systems. Such hallucinations produce factually incorrect responses …

Xiangyan Chen, Yujian Gan, Matthew Purver

3 views Feb 23

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Academic

Mnemis: Dual-Route Retrieval on Hierarchical Graphs for Long-Term LLM Memory

NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering

Far Out: Evaluating Language Models on Slang in Australian and Indian English

Orchestration-Free Customer Service Automation: A Privacy-Preserving and Flowchart-Guided Framework

Making Large Language Models Speak Tulu: Structured Prompting for an Extremely Low-Resource Language

The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems

Measuring Social Integration Through Participation: Categorizing Organizations and Leisure Activities in the Displaced Karelians Interview …

TAROT: Test-driven and Capability-adaptive Curriculum Reinforcement Fine-tuning for Code Generation with Large Language Models

In Agents We Trust, but Who Do Agents Trust? Latent Source Preferences Steer LLM Generations

Towards Expectation Detection in Language: A Case Study on Treatment Expectations in Reddit

LuxMT Technical Report

Fine-Refine: Iterative Fine-grained Refinement for Mitigating Dialogue Hallucination

JCG, PC

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