EMNLP 2025

4,182 papers

Enhancing Financial RAG with Agentic AI and Multi-HyDE: A Novel Approach to Knowledge Retrieval and Hallucination Reduction

Ryan George, Akshay Govind Srinivasan, Jayden Koshy Joe, Harshith M R, Vijayavallabh J

Zero-Shot Extraction of Stock Relationship Graphs with LLMs

Hao Zhou, Luis Felipe Costa Sperb, Tiejun Ma

LLM as a Guide: an Approach for Unsupervised Economic Relation Discovery in Administrative Documents

Thomas Sebbag, Solen Quiniou, Emmanuel Morin

SeCoRel: Multilingual Discourse Analysis in DISRPT 2025

Sobha Lalitha Devi, Pattabhi RK Rao, Vijay Sundar Ram

HITS at DISRPT 2025: Discourse Segmentation, Connective Detection, and Relation Classification

Souvik Banerjee, Yi Fan, Michael Strube

DeDisCo at the DISRPT 2025 Shared Task: A System for Discourse Relation Classification

Zhuoxuan Ju, Jingni Wu, Abhishek Purushothama, Amir Zeldes

CLaC at DISRPT 2025: Hierarchical Adapters for Cross-Framework Multi-lingual Discourse Relation Classification

Nawar Turk, Daniele Comitogianni, Leila Kosseim

DisCuT and DiscReT: MELODI at DISRPT 2025 Multilingual discourse segmentation, connective tagging and relation classification

Robin Pujol, Firmin Rousseau, Philippe Muller, Chloé Braud

The DISRPT 2025 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification

Chloé Braud, Amir Zeldes, Chuyuan Li, Yang Janet Liu, Philippe Muller

Few-Shot Multilingual Coreference Resolution Using Long-Context Large Language Models

Moiz Sajid, Seemab Latif, Zuhair Zafar, Muhammad Moazam Fraz

Few-Shot Coreference Resolution with Semantic Difficulty Metrics and In-Context Learning

Nguyen Xuan Phuc, Dang Van Thin

Fine-Tuned Llama for Multilingual Text-to-Text Coreference Resolution

Jakub Hejman, Ondřej Pražák, Miloslav Konopík

CorPipe at CRAC 2025: Evaluating Multilingual Encoders for Multilingual Coreference Resolution

Milan Straka

GLaRef@CRAC2025: Should we transform coreference resolution into a text generation task?

Olga Seminck, Antoine Bourgois, Yoann Dupont, Mathieu Dehouck, Marine Delaborde

Findings of the Fourth Shared Task on Multilingual Coreference Resolution: Can LLMs Dethrone Traditional Approaches?

Michal Novák, Miloslav Konopík, Anna Nedoluzhko, Martin Popel, Ondřej Pražák

Impact of ASR Transcriptions on French Spoken Coreference Resolution

Kirill Milintsevich

Exploring Coreference Resolution in Glosses of German Sign Language

Yuzheng Bao, Haixia Chai

Towards Adding Arabic to CorefUD

Dima Taji, Daniel Zeman

The Elephant in the Coreference Room: Resolving Coreference in Full-Length French Fiction Works

Antoine Bourgois, Thierry Poibeau

Mention detection with LLMs in pair-programming dialogue

Cecilia Domingo, Paul Piwek, Svetlana Stoyanchev, Michel Wermelinger

Revisiting the Givenness Hierarchy. A Corpus-Based Evaluation

Christian Chiarcos

Coreference in simplified German: Linguistic features and challenges of automatic annotation

Sarah Jablotschkin, Ekaterina Lapshinova-Koltunski, Heike Zinsmeister

Referential ambiguity and clarification requests: comparing human and LLM behaviour

Chris Madge, Matthew Purver, Massimo Poesio

Information-Theoretic and Prompt-Based Evaluation of Discourse Connective Edits in Instructional Text Revisions

Berfin Aktas, Michael Roth

Corpus-Oriented Stance Target Extraction

Benjamin Steel, Derek Ruths

Bridging Discourse Treebanks with a Unified Rhetorical Structure Parser

Elena Chistova

Where Frameworks (Dis)agree: A Study of Discourse Segmentation

Maciej Ogrodniczuk, Anna Latusek, Karolina Saputa, Alina Wróblewska, Daniel Ziembicki

Human and LLM-based Assessment of Teaching Acts in Expert-led Explanatory Dialogues

Aliki Anagnostopoulou, Nils Feldhus, Yi-Sheng Hsu, Milad Alshomary, Henning Wachsmuth

EmbiText: Embracing Ambiguity by Annotation, Recognition and Generation of Pronominal Reference with Event-Entity Ambiguity

Amna Sheikh, Christian Hardmeier

Discourse Relation Recognition with Language Models Under Different Data Availability

Shuhaib Mehri, Chuyuan Li, Giuseppe Carenini

Measuring Sexism in US Elections: A Comparative Analysis of X Discourse from 2020 to 2024

Anna Fuchs, Elisa Noltenius, Caroline Weinzierl, Bolei Ma, Anna-Carolina Haensch

Probing the Limits of Multilingual Language Understanding: Low-Resource Language Proverbs as LLM Benchmark for AI Wisdom

Surendrabikram Thapa, Kritesh Rauniyar, Hariram Veeramani, Surabhi Adhikari, Imran Razzak

Zero-Shot Belief: A Hard Problem for LLMs

John Murzaku, Owen Rambow

On the Role of Context for Discourse Relation Classification in Scientific Writing

Stephen Wan, Wei Liu, Michael Strube

“Otherwise” in Context: Exploring Discourse Functions with Language Models

Guifu Liu, Bonnie Webber, Hannah Rohde

Code-switching in Context: Investigating the Role of Discourse Topic in Bilingual Speech Production

Debasmita Bhattacharya, Anxin Yi, Siying Ding, Julia Hirschberg

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, Denis Shevelev, Aydar Bulatov

Findings of the BlackboxNLP 2025 Shared Task: Localizing Circuits and Causal Variables in Language Models

Dana Arad, Yonatan Belinkov, Hanjie Chen, Najoung Kim, Hosein Mohebbi

BlackboxNLP-2025 MIB Shared Task: Exploring Ensemble Strategies for Circuit Localization Methods

Philipp Mondorf, Mingyang Wang, Sebastian Gerstner, Ahmad Dawar Hakimi, Yihong Liu

BlackboxNLP-2025 MIB Shared Task: IPE: Isolating Path Effects for Improving Latent Circuit Identification

Nicolò Brunello, Andrea Cerutti, Andrea Sassella, Mark James Carman

BlackboxNLP-2025 MIB Shared Task: Improving Circuit Faithfulness via Better Edge Selection

Yaniv Nikankin, Dana Arad, Itay Itzhak, Anja Reusch, Adi Simhi

What Features in Prompts Jailbreak LLMs? Investigating the Mechanisms Behind Attacks

Nathalie Maria Kirch, Constantin Niko Weisser, Severin Field, Helen Yannakoudakis, Stephen Casper

Fine-Grained Manipulation of Arithmetic Neurons

Wenyu Du, Rui Zheng, Tongxu Luo, Stephen Chung, Jie Fu

Can Language Neuron Intervention Reduce Non-Target Language Output?

Suchun Xie, Hwichan Kim, Shota Sasaki, Kosuke Yamada, Jun Suzuki

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, Matteo Negri, Guillaume Wisniewski

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, Rin Kaenbyou, Naoya Inoue

From BERT to LLMs: Comparing and Understanding Chinese Classifier Prediction in Language Models

Ziqi Zhang, Jianfei Ma, Emmanuele Chersoni, You Jieshun, Zhaoxin Feng

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, Hirohiko Abe, Koji Mineshima

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, Emmanuel Ameisen

PrivacyScalpel: Enhancing LLM Privacy via Interpretable Feature Intervention with Sparse Autoencoders

Ahmed Frikha, Muhammad Reza Ar Razi, Krishna kanth Nakka, Ricardo Mendes, Xue Jiang

Emergent Convergence in Multi-Agent LLM Annotation

Angelina Parfenova, Alexander Denzler, Jürgen Pfeffer

Understanding the Side Effects of Rank-One Knowledge Editing

Ryosuke Takahashi, Go Kamoda, Benjamin Heinzerling, Keisuke Sakaguchi, Kentaro Inui

When LRP Diverges from Leave-One-Out in Transformers

Weiqiu You, Siqi Zeng, Yao-Hung Hubert Tsai, Makoto Yamada, Han Zhao

Investigating ReLoRA: Effects on the Learning Dynamics of Small Language Models

Yuval Weiss, David Demitri Africa, Paula Buttery, Richard Diehl Martinez

Interpreting Language Models Through Concept Descriptions: A Survey

Nils Feldhus, Laura Kopf

Language Dominance in Multilingual Large Language Models

Nadav Shani, Ali Basirat

Not a nuisance but a useful heuristic: Outlier dimensions favor frequent tokens in language models

Iuri Macocco, Nora Graichen, Gemma Boleda, Marco Baroni

The Comparative Trap: Pairwise Comparisons Amplifies Biased Preferences of LLM Evaluators

Hawon Jeong, ChaeHun Park, Jimin Hong, Hojoon Lee, Jaegul Choo

Steering Prepositional Phrases in Language Models: A Case of with-headed Adjectival and Adverbial Complements in Gemma-2

Stefan Arnold, Rene Gröbner

Evil twins are not that evil: Qualitative insights into machine-generated prompts

Nathanaël Carraz Rakotonirina, Corentin Kervadec, Francesca Franzon, Marco Baroni

Char-mander Use mBackdoor! A Study of Cross-lingual Backdoor Attacks in Multilingual LLMs

Himanshu Beniwal, Sailesh Panda, Birudugadda Srivibhav, Mayank Singh

CE-Bench: Towards a Reliable Contrastive Evaluation Benchmark of Interpretability of Sparse Autoencoders

Alex Gulko, Yusen Peng, Sachin Kumar

Babies Learn to Look Ahead: Multi-Token Prediction in Small LMs

Ansar Aynetdinov, Alan Akbik

RecombiText: Compositional Data Augmentation for Enhancing LLM Pre-Training Datasets in Low-Resource Scenarios

Alexander Tampier, Lukas Thoma, Loris Schoenegger, Benjamin Roth

MoEP: Modular Expert Paths for Sample-Efficient Language Modeling

Joonas Tapaninaho

Masked Diffusion Language Models with Frequency-Informed Training

Despoina Kosmopoulou, Efthymios Georgiou, Vaggelis Dorovatas, Georgios Paraskevopoulos, Alexandros Potamianos

Pretraining Language Models with LoRA and Artificial Languages

Nalin Kumar, Mateusz Lango, Ondřej Dušek

Batch-wise Convergent Pre-training: Step-by-Step Learning Inspired by Child Language Development

Ko Yoshida, Daiki Shiono, Kai Sato, Toko Miura, Momoka Furuhashi

Linguistic Units as Tokens: Intrinsic and Extrinsic Evaluation with BabyLM

Achille Fusco, Maria Letizia Piccini Bianchessi, Tommaso Sgrizzi, Asya Zanollo, Cristiano Chesi

Active Curriculum Language Modeling over a Hybrid Pre-training Method

Eleni Fysikoudi, Sharid Loáiciga, Asad B. Sayeed

You are an LLM teaching a smaller model everything you know: Multi-task pretraining of language models with LLM-designed study plans

Wiktor Kamzela, Mateusz Lango, Ondřej Dušek

Once Upon a Time: Interactive Learning for Storytelling with Small Language Models

Jonas Mayer Martins, Ali Hamza Bashir, Muhammad Rehan Khalid, Lisa Beinborn

Mask and You Shall Receive: Optimizing Masked Language Modeling For Pretraining BabyLMs

Lukas Edman, Alexander Fraser

CLASS-IT: Conversational and Lecture-Aligned Small-Scale Instruction Tuning for BabyLMs

Luca Capone, Alessandro Bondielli, Alessandro Lenci

Dialogue Is Not Enough to Make a Communicative BabyLM (But Neither Is Developmentally Inspired Reinforcement Learning)

Francesca Padovani, Bastian Bunzeck, Manar Ali, Omar Momen, Arianna Bisazza

Findings of the Third BabyLM Challenge: Accelerating Language Modeling Research with Cognitively Plausible Data

Lucas Charpentier, Leshem Choshen, Ryan Cotterell, Mustafa Omer Gul, Michael Y. Hu

Understanding and Enhancing Mamba-Transformer Hybrids for Memory Recall and Language Modeling

Hyunji Lee, Wenhao Yu, Hongming Zhang, Kaixin Ma, Jiyeon Kim

Influence-driven Curriculum Learning for Pre-training on Limited Data

Loris Schoenegger, Lukas Thoma, Terra Blevins, Benjamin Roth

Teacher Demonstrations in a BabyLM’s Zone of Proximal Development for Contingent Multi-Turn Interaction

Suchir Salhan, Hongyi Gu, Donya Rooein, Diana Galván-Sosa, Gabrielle Gaudeau

Single layer tiny Co4 outpaces GPT-2 and GPT-BERT

Noor Ul Zain, Mohsin Raza Naseem, Ahsan Adeel

SlovakBabyLM: Replication of the BabyLM and Sample-efficient Pretraining for a Low-Resource Language

Ľuboš Kriš, Marek Suppa

Do Syntactic Categories Help in Developmentally Motivated Curriculum Learning for Language Models?

Arzu Burcu Güven, Anna Rogers, Rob van der Goot

A Morpheme-Aware Child-Inspired Language Model

Necva Bölücü, Burcu Can

CurLL: A Developmental Framework to Evaluate Continual Learning in Language Models

Pavan Kalyan Tankala, Shubhra Mishra, Satya Lokam, Navin Goyal

Beyond Repetition: Text Simplification and Curriculum Learning for Data-Constrained Pretraining

Matthew Theodore Roque, Dan John Velasco

What did you say? Generating Child-Directed Speech Questions to Train LLMs

Whitney Poh, Michael Tombolini, Libby Barak

Two ways into the hall of mirrors: Language exposure and lossy memory drive cross-linguistic grammaticality illusions in language models

Kate McCurdy, Katharina Christian, Amelie Seyfried, Mikhail Sonkin

A Comparison of Elementary Baselines for BabyLM

Rareș Păpușoi, Sergiu Nisioi

Looking to Learn: Token-wise Dynamic Gating for Low-Resource Vision-Language Modelling

Bianca-Mihaela Ganescu, Suchir Salhan, Andrew Caines, Paula Buttery