Papers
Distill and Align Decomposition for Enhanced Claim Verification
Jabez Magomere, Elena Kochkina, Samuel Mensah et al.
Can Models Help Us Create Better Models? Evaluating LLMs as Data Scientists
Michał Pietruszka, Łukasz Borchmann, Aleksander Jędrosz et al.
Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pre-training
Jeffrey Li, Joshua P Gardner, Doug Kang et al.
Token-Wise Kernels (TWiKers) for Vicinity-Aware Attention in Transformers
Kuangdai Leng, Jia Bi, Samuel Pinilla et al.
Better Call CLAUSE: A Discrepancy Benchmark for Auditing LLMs Legal Reasoning Capabilities
Manan Roy Choudhury, Adithya Chandramouli, Mannan Anand et al.
Compositional Reasoning via Joint Image and Language Decomposition
Dwip Dalal, Madhav Kanda, Zhenhailong Wang et al.
Neural network embeddings recover value dimensions from psychometric survey items on par with human data
Max Pellert, Clemens M Lechner, Indira Sen et al.
What Matters to an LLM? Behavioral and Computational Evidences from Summarization
Yongxin Zhou, Changshun Wu, Philippe Mulhem et al.
A Domain-Specific Curated Benchmark for Entity and Document-Level Relation Extraction
Marco Martinelli, Stefano Marchesin, Vanessa Bonato et al.
RADAR: A Reasoning-Guided Attribution Framework for Explainable Visual Data Analysis
Anku Rani, Aparna Garimella, Apoorv Saxena et al.
Test-time Corpus Feedback: From Retrieval to RAG
Mandeep Rathee, Venktesh V, Sean MacAvaney et al.
Punctuations and Predicates in Language Models
Sonakshi Chauhan, Maheep Chaudhary, Choy Kwan Kiu et al.
FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs
Albert Sawczyn, Jakub Binkowski, Denis Janiak et al.
RoD-TAL: A Benchmark for Answering Questions in Romanian Driving License Exams
Andrei Vlad Man, Răzvan-Alexandru Smădu, Cristian-George Craciun et al.
Tackling Distractor Documents in Multi-Hop QA with Reinforcement and Curriculum Learning
Jerry Huang, Siddarth Madala, Risham Sidhu et al.
GRAFF: GRaph-Augmented Fine-grained Fusion for Large Language Models
Himanshu Chaudhary, Ruida Wang, Gowtham Ramesh et al.
ART: Attention-Regularized Transformers for Multi-Modal Robustness
Mohammed Bouri, Mohammed Erradi, Adnane Saoud
Do LLMs model human linguistic variation? A case study in Hindi-English Verb code-mixing
Mukund Choudhary, Madhur Jindal, Gaurja Aeron et al.
code-transformed: The Influence of Large Language Models on Code
Yuliang Xu, Siming Huang, Mingmeng Geng et al.
Revealing the Numeracy Gap: An Empirical Investigation of Text Embedding Models
Ningyuan Deng, Hanyu Duan, Yixuan Tang et al.
COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values
Siwei Wu, JinCheng Ren, Xeron Du et al.
MMRA: A Benchmark for Evaluating Multi-Granularity and Multi-Image Relational Association Capabilities in Large Visual Language Models
Siwei Wu, King Zhu, Yu Bai et al.
Improving the OOD Performance of Closed-Source LLMs on NLI Through Strategic Data Selection
Joe Stacey, Lisa Alazraki, Aran Ubhi et al.
Hierarchical User Intent Inference with Knowledge Graph Grounding
Tzu-Cheng Peng, Chien Chin Chen, Yung-Chun Chang