Papers
Stance Detection on Nigerian 2023 Election Tweets Using BERT: A Low-Resource Transformer-Based Approach
Mahmoud Ahmad, Habeebah Kakudi
Entity Tracking in Small Language Models: An Attention-Based Study of Parameter-Efficient Fine-Tuning
Sungho Jeon, Michael Strube
Enhancing the Automatic Classification of Metadiscourse in Low-Proficiency Learners’ Spoken and Written English Texts Using XLNet
Wenwen Guan, Marijn Alta, Jelke Bloem
Unpacking Ambiguity: The Interaction of Polysemous Discourse Markers and Non-DM Signals
Jingni Wu, Amir Zeldes
Long Context Benchmark for the Russian Language
Igor Churin, Murat Apishev, Maria Tikhonova et al.
Findings of the BlackboxNLP 2025 Shared Task: Localizing Circuits and Causal Variables in Language Models
Dana Arad, Yonatan Belinkov, Hanjie Chen et al.
BlackboxNLP-2025 MIB Shared Task: Exploring Ensemble Strategies for Circuit Localization Methods
Philipp Mondorf, Mingyang Wang, Sebastian Gerstner et al.
BlackboxNLP-2025 MIB Shared Task: IPE: Isolating Path Effects for Improving Latent Circuit Identification
Nicolò Brunello, Andrea Cerutti, Andrea Sassella et al.
BlackboxNLP-2025 MIB Shared Task: Improving Circuit Faithfulness via Better Edge Selection
Yaniv Nikankin, Dana Arad, Itay Itzhak et al.
What Features in Prompts Jailbreak LLMs? Investigating the Mechanisms Behind Attacks
Nathalie Maria Kirch, Constantin Niko Weisser, Severin Field et al.
Fine-Grained Manipulation of Arithmetic Neurons
Wenyu Du, Rui Zheng, Tongxu Luo et al.
Can Language Neuron Intervention Reduce Non-Target Language Output?
Suchun Xie, Hwichan Kim, Shota Sasaki et al.
On the Representations of Entities in Auto-regressive Large Language Models
Victor Morand, Josiane Mothe, Benjamin Piwowarski
Exploring Large Language Models’ World Perception: A Multi-Dimensional Evaluation through Data Distribution
Zhi Li, Jing Yang, Ying Liu
The Unheard Alternative: Contrastive Explanations for Speech-to-Text Models
Lina Conti, Dennis Fucci, Marco Gaido et al.
Understanding How CodeLLMs (Mis)Predict Types with Activation Steering
Francesca Lucchetti, Arjun Guha
Mechanistic Fine-tuning for In-context Learning
Hakaze Cho, Peng Luo, Mariko Kato et al.
From BERT to LLMs: Comparing and Understanding Chinese Classifier Prediction in Language Models
Ziqi Zhang, Jianfei Ma, Emmanuele Chersoni et al.
A Pipeline to Assess Merging Methods via Behavior and Internals
Yutaro Sigrist, Andreas Waldis
A Theorem-Proving-Based Evaluation of Neural Semantic Parsing
Hayate Funakura, Hyunsoo Kim, Koji Mineshima
Normative Reasoning in Large Language Models: A Comparative Benchmark from Logical and Modal Perspectives
Kentaro Ozeki, Risako Ando, Takanobu Morishita et al.
Can LLMs Detect Ambiguous Plural Reference? An Analysis of Split-Antecedent and Mereological Reference
Dang Thi Thao Anh, Rick Nouwen, Massimo Poesio
The Lookahead Limitation: Why Multi-Operand Addition is Hard for LLMs
Tanja Baeumel, Josef Van Genabith, Simon Ostermann
Circuit-Tracer: A New Library for Finding Feature Circuits
Michael Hanna, Mateusz Piotrowski, Jack Lindsey et al.
PrivacyScalpel: Enhancing LLM Privacy via Interpretable Feature Intervention with Sparse Autoencoders
Ahmed Frikha, Muhammad Reza Ar Razi, Krishna Kanth Nakka et al.