SemEval-2025 Schedule

SemEval-2025 will be colocated with ACL 2025 at The Austria Center Vienna.

Online poster sessions will be held on Gather.

In-person presentations will be held in Hall M2. Oral sessions and invited talk will also be streamed on Zoom.

In-person poster sessions will be in Exhibit Hall X5.

Thursday, July 31st

09:00-09:30 Welcome and Introduction to SemEval: by Workshop Chairs

09:30-10:30 Invited Talk, Emily Allaway: Lessons in generics: how language models grapple with human generalisation

Talk information

The ability to generalise is a crucial aspect of human cognition, allowing us to derive broader understandings from specific instances. In language, generalised knowledge over particular instantiations and exceptions can be flexibly expressed through generics — generalisations without quantifiers. However, the flexibility of generics also comes with puzzling properties that have been extensively studied in areas such as linguistics and philosophy of language. This talk will explore the specific challenges that this language of generalisation poses for language models (LMs). I will begin by examining whether language models recognise the quantificational variation inherent in generics. Specifically, I will discuss how accurately LMs process and recognise the quantification in generic expressions, with a particular focus on the phenomenon of overgeneralisation — unwarranted universal quantification. One critical area of overgeneralisation is with stereotypes and I will touch on the implications for LMs of stereotypes that are expressed as generics. Next, I will present evaluations on the capacity of LMs to reason about generics and related examples, probing LMs’ ability to both maintain and override their generalisations. In the final part of the talk, I will expand the discussion to visual-language models (VLMs) to determine whether their struggles with generics mirror those of traditional LMs and what the broader implications of these findings might be.

Bio: Emily Allaway is a Chancellor’s Fellow at the University of Edinburgh in the School of Informatics, where she is affiliated with both Edinburgh NLP and the Institute for Language, Cognition and Computation (ILCC). Her research is on reasoning about and understanding implicit meaning in language, with a recent focus on generics and their role in reasoning. Emily received her PhD from Columbia University under the supervision of Kathleen McKeown. Her doctoral work there was supported by an NSF Graduate Research Fellowship. Her previous work includes research positions at the University of Washington, the Allen Institute for Artificial Intelligence, and Amazon Science. She is currently a chair for the WiNLP workshop.

10:30-11:00 Coffee break

11:00-12:30 Oral Session I: Tasks 1-6

11:00-11:15 SemEval-2025 Task 1: ADMIRE: Advancing Multimodal Idiomaticity Representation
11:15-11:30 SemEval-2025 Task 2: EA-MT: Entity-Aware Machine Translation
11:30-11:45 SemEval-2025 Task 3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes
11:45-12:00 SemEval-2025 Task 4: Unlearning sensitive content from Large Language Models
12:00-12:15 SemEval-2025 Task 5: LLMs4Subjects: LLM-based Automated Subject Tagging for a National Technical Library's Open-Access Catalog
12:15-12:30 SemEval-2025 Task 6: PromiseEval: Multinational, Multilingual, Multi-Industry Promise Verification

12:30-14:00 Lunch break

14:00-15:15 Oral Session II: Tasks 7-11

14:00-14:15 SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval
14:15-14:30 SemEval-2025 Task 8: Question-Answering over Tabular Data
14:30-14:45 SemEval-2025 Task 9: The Food Hazard Detection Challenge
14:45-15:00 SemEval 2025 Task 10: Multilingual Characterization and Extraction of Narratives from Online News
15:00-15:15 SemEval 2025 Task 11: Bridging the Gap in Text-Based Emotion Detection

15:15-15:30 Oral Session III: Best Task Awards Announcement

15:30-16:00 Coffee break

16:00-17:30 Poster Session I: System Description Papers(in person only)

NotMyNarrative at SemEval-2025 Task 10: Do Narrative Features Share Across Languages in Multilingual Encoder Models?
UWBa at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval
adithjrajeev at SemEval-2025 Task 10: Sequential Learning for Role Classification Using Entity-Centric News Summaries
UZH at SemEval-2025 Task 3: Token-Level Self-Consistency for Hallucination Detection
UniBuc at SemEval-2025 Task 9: Similarity Approaches to Classification
XLM-Muriel at SemEval-2025 Task 11: Hard Parameter Sharing for Multi-lingual Multi-label Emotion Detection
Chinchunmei at SemEval-2025 Task 11: Boosting the Large Language Model’s Capability of Emotion Perception using Contrastive Learning
UIMP-Aaman at SemEval-2025 Task11: Detecting Intensity and Emotion in Social Media and News
BERTastic at SemEval-2025 Task 10: State-of-the-Art Accuracy in Coarse-Grained Entity Framing for Hindi News
LTG at SemEval-2025 Task 10: Optimizing Context for Classification of Narrative Roles
CCNU at SemEval-2025 Task 3: Leveraging Internal and External Knowledge of Large Language Models for Multilingual Hallucination Annotation
MRT at SemEval-2025 Task 8: Maximizing Recovery from Tables with Multiple Steps
RACAI at SemEval-2025 Task 7: Efficient adaptation of Large Language Models for Multilingual and Crosslingual Fact-Checked Claim Retrieval
ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model Merging
GPLSICORTEX at SemEval-2025 Task 10: Leveraging Intentions for Generating Narrative Extractions
Hallucination Detectives at SemEval-2025 Task 3: Span-Level Hallucination Detection for LLM-Generated Answers
BitsAndBites at SemEval-2025 Task 9: Improving Food Hazard Detection with Sequential Multitask Learning and Large Language Models
G-MACT at SemEval-2024 Task 8: Exploring Planning and Tool Use in Question Answering over Tabular Data
MyMy at SemEval-2025 Task 9: A Robust Knowledge-Augmented Data Approach for Reliable Food Hazard Detection
CCNU at SemEval-2025 Task 8: Enhancing Question Answering on Tabular Data with Two-Stage Corrections
SALT 🧂 at SemEval-2025 Task 2: A SQL-based Approach for LLM-Free Entity-Aware-Translation
QMUL at SemEval-2025 Task 11: Explicit Emotion Detection with EmoLex, Feature Engineering, and Threshold-Optimized Multi-Label Classification
SmurfCat at SemEval-2025 Task 3: Bridging External Knowledge and Model Uncertainty for Enhanced Hallucination Detection
ipezoTU at SemEval-2025 Task 7: Hybrid Ensemble Retrieval for Multilingual Fact-Checking
ATLANTIS at SemEval-2025 Task 3: Detecting Hallucinated Text Spans in Question Answering
Samsung Research Poland at SemEval-2025 Task 8: LLM ensemble methods for QA over tabular data
LyS at SemEval 2025 Task 8: Zero-Shot Code Generation for Tabular QA
Dataground at SemEval-2025 Task 8: Small LLMs and Preference Optimization for Tabular QA
AILS-NTUA at SemEval-2025 Task 8: Language-to-Code prompting and Error Fixing for Tabular Question Answering
ITUNLP at SemEval-2025 Task 8: Question-Answering over Tabular Data: A Zero-Shot Approach using LLM-Driven Code Generation
LA²I²F at SemEval-2025 Task 5: Reasoning in Embedding Space – Fusing Analogical and Ontology-based Reasoning for Document Subject Tagging
tinaal at SemEval-2025 Task 11: Enhancing Perceived Emotion Intensity Prediction with Boosting Fine-Tuned Transformers
AILS-NTUA at SemEval-2025 Task 3: Leveraging Large Language Models and Translation Strategies for Multilingual Hallucination Detection
AILS-NTUA at SemEval-2025 Task 4: Parameter-Efficient Unlearning for Large Language Models using Data Chunking

Friday, August 1st

9:00-10:30 Poster Session II: System Description Papers (Online: Gather)

VerbaNexAI at SemEval-2025 Task 9: Advances and Challenges in the Automatic Detection of Food Hazards
CTYUN-AI at SemEval-2025 Task 1: Learning to Rank for Idiomatic Expressions
Anastasia at SemEval-2025 Task 9: Subtask 1, Ensemble Learning with Data Augmentation and Focal Loss for Food Risk Classification
UNEDTeam at SemEval-2025 Task 10: Zero-Shot Narrative Classification
DUTtask10 at SemEval-2025 Task 10: ThoughtFlow: Hierarchical Narrative Classification via Stepwise Prompting
TechSSN3 at SemEval-2025 Task 9: Food Hazard and Product Detection - Category Identification and Vector Prediction
CYUT at SemEval-2025 Task 6: Prompting with Precision – ESG Analysis via Structured Prompts
Zuifeng at SemEval-2025 Task 9: Multitask Learning with Fine-Tuned RoBERTa for Food Hazard Detection
FII the Best at SemEval 2025 Task 2: Steering State-of-the-art Machine Translation Models with Strategically Engineered Pipelines for Enhanced Entity Translation
madhans476 at SemEval-2025 Task 9: Multi-Model Ensemble and Prompt-Based Learning for Food Hazard Prediction
Sakura at SemEval-2025 Task 2: Enhancing Named Entity Translation with Fine-Tuning and Preference Optimization
Anaselka at SemEval-2025 Task 9: Leveraging SVM and MNB for Detecting Food Hazard
Trans-Sent at SemEval-2025 Task 11: Text-based Multi-label Emotion Detection using Pre-Trained BERT Transformer Models
Team INSALyon2 at SemEval-2025 Task 10: A Zero-shot Agentic Approach to Text Classification
SRCB at SemEval-2025 Task 9: LLM Finetuning Approach based on External Attention Mechanism in The Food Hazard Detection
Advacheck at SemEval-2025 Task 3: Combining NER and RAG to Spot Hallucinations in LLM Answers
VerbaNexAI at SemEval-2025 Task 2: Enhancing Entity-Aware Translation with Wikidata-Enriched MarianMT
CSECU-Learners at SemEval-2025 Task 9: Enhancing Transformer Model for Explainable Food Hazard Detection in Text
UPC-HLE at SemEval-2025 Task 7: Multilingual Fact-Checked Claim Retrieval with Text Embedding Models and Cross-Encoder Re-Ranking
CSECU-Learners at SemEval-2025 Task 11: Multilingual Emotion Recognition and Intensity Prediction with Language-tuned Transformers and Multi-sample Dropout
Amado at SemEval-2025 Task 11: Multi-label Emotion Detection in Amharic and English Data
NarrativeNexus at SemEval-2025 Task 10: Entity Framing and Narrative Extraction using BART
DEMON at SemEval-2025 Task 10: Fine-tuning LLaMA-3 for Multilingual Entity Framing
JNLP at SemEval-2025 Task 1: Multimodal Idiomaticity Representation with Large Language Models
HU at SemEval-2025 Task 9: Leveraging LLM-Based Data Augmentation for Class Imbalance
NarrativeMiners at SemEval-2025 Task 10: Combating Manipulative Narratives in Online News
Habib University at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection
WC Team at SemEval-2025 Task 6: PromiseEval: Multinational, Multilingual, Multi-Industry Promise Verification leveraging monolingual and multilingual BERT models
CSIRO LT at SemEval-2025 Task 8: Answering Questions over Tabular Data using LLMs
Oath Breakers at SemEval-2025 Task 06: Leveraging DeBERTa and Contrastive Learning for Promise Verification
CLaC at SemEval-2025 Task 6: A Multi-Architecture Approach for Corporate Environmental Promise Verification
YNU-HPCC at SemEval-2025 Task 6: Using BERT Model with R-drop for Promise Verification
PATeam at SemEval-2025 Task 9: LLM-Augmented Fusion for AI-Driven Food Safety Hazard Detection
CSCU at SemEval-2025 Task 6: Enhancing Promise Verification with Paraphrase and Synthesis Augmentation: Effects on Model Performance
UCSC at SemEval-2025 Task 3: Context, Models and Prompt Optimization for Automated Hallucination Detection in LLM Output
YNU-HPCC at SemEval-2025 Task 10: A Two-Stage Approach to Solving Multi-Label and Multi-Class Role Classification Based on DeBERTa
YNU at SemEval-2025 Task 4: Synthetic Token Alternative Training for LLM Unlearning
JU-CSE-NLP’25 at SemEval-2025 Task 4: Learning to Unlearn LLMs
pingan-team at SemEval-2025 Task 2: LoRA-Augmented Qwen2.5 with Wikidata-Driven Entity Translation
YNU-HPCC at SemEval-2025 Task 1: Enhancing Multimodal Idiomaticity Representation via LoRA and Hybrid Loss Optimization
JU_NLP at SemEval-2025 Task 7: Leveraging Transformer-Based Models for Multilingual & Crosslingual Fact-Checked Claim Retrieval
UCSC NLP T6 at SemEval-2025 Task 1: Leveraging LLMs and VLMs for Idiomatic Understanding
JUNLP_Sarika at SemEval-2025 Task 11: Bridging Contextual Gaps in Text-Based Emotion Detection using Transformer Models
YNUzwt at SemEval-2025 Task 10: Tree-guided Stagewise Classifier for Entity Framing and Narrative Classification
TECHSSN at SemEval-2025 Task 10: A Comparative Analysis of Transformer Models for Dominant Narrative-Based News Summarization
KyuHyunChoi at SemEval-2025 Task 10: Narrative Extraction Using a Summarization-Specific Pretrained Model
fact check AI at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-checked Claim Retrieval
SHA256 at SemEval-2025 Task 4: Selective Amnesia – Constrained Unlearning for Large Language Models via Knowledge Isolation
Team ACK at SemEval-2025 Task 2: Beyond Word-for-Word Machine Translation for English-Korean Pairs
Jim at SemEval-2025 Task 5: Multilingual BERT Ensemble
Annif at SemEval-2025 Task 5: Traditional XMTC augmented by LLMs
RUC Team at SemEval-2025 Task 5: Fast Automated Subject Indexing via Similar Records Matching and Related Subject Ranking
Fane at SemEval-2025 Task 10: Zero-Shot Entity Framing with Large Language Models
silp_nlp at SemEval-2025 Task 5: Subject Recommendation With Sentence Transformer
Team Unibuc - NLP at SemEval-2025 Task 11: Few-shot text-based emotion detection

10:30-11:00 Coffee break

11:00-12:00 Oral Session IV: Best System papers presentation

- Best system awards will be notified in advance and announced publicly at the conference.

12:00-14:00 Lunch break

14:00-15:30 Poster Session III: System Description Papers (in person only)

Tuebingen at SemEval-2025 Task 10: Class Weighting, External Knowledge and Data Augmentation in BERT Models
NYCU-NLP at SemEval-2025 Task 11: Assembling Small Language Models for Multilabel Emotion Detection and Intensity Prediction
MALTO at SemEval-2025 Task 3: Detecting Hallucinations in LLMs via Uncertainty Quantification and Larger Model Validation
Habib University at SemEval-2025 Task 9: Using Ensemble Models for Food Hazard Detection
iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss
Atyaephyra at SemEval-2025 Task 4: Low-Rank Negative Preference Optimization
COGNAC at SemEval-2025 Task 10: Multi-level Narrative Classification with Summarization and Hierarchical Prompting
SheffieldGATE at SemEval-2025 Task 2: Multi-Stage Reasoning with Knowledge Fusion for Entity Translation
Fossils at SemEval-2025 Task 9: Tasting Loss Functions for Food Hazard Detection in Text Reports
GIL-IIMAS UNAM at SemEval-2025 Task 4: LA-Min(E): LLM Unlearning Approaches Under Function Minimizing Evaluation Constraints
CIC-IPN at SemEval-2025 Task 11: Transformer-Based Approach to Multi-Class Emotion Detection
Mr. Snuffleupagus at SemEval-2025 Task 4: Unlearning Factual Knowledge from LLMs Using Adaptive RMU
NarrativeMiners at SemEval-2025 Task 10: Combating Manipulative Narratives in Online News
TUM-MiKaNi at SemEval-2025 Task 3: Towards Multilingual and Knowledge-Aware Non-factual Hallucination Identification
UAlberta at SemEval-2025 Task 2: Prompting and Ensembling for Entity-Aware Translation
Oath Breakers at SemEval-2025 Task 06: Leveraging DeBERTa and Contrastive Learning for Promise Verification
MALTO at SemEval-2025 Task 4: Dual Teachers for Unlearning Sensitive Content in LLMs
TueCL at SemEval-2025 Task 1: AdMIRe: Advancing Multimodal Idiomaticity Representation
Wikidata-Driven Entity-Aware Translation: Boosting LLMs with External Knowledge
UCSC at SemEval-2025 Task 3: Context, Models and Prompt Optimization for Automated Hallucination Detection in LLM Output
COGUMELO at SemEval-2025 Task 3: A Synthetic Approach to Detecting Hallucinations in Language Models based on Named Entity Recognition
FactDebug at SemEval-2025 Task 7: Hybrid Retrieval Pipeline for Identifying Previously Fact-Checked Claims Across Multiple Languages
HiTZ-Ixa at SemEval-2025 Task 1: Multimodal Idiomatic Language Understanding
AIMA at SemEval-2025 Task 1: Bridging Vision and Language Modalities for Idiomatic Knowledge Extraction via Mixture of Experts
TIFIN India at SemEval-2025: Harnessing Translation to Overcome Multilingual IR Challenges in Fact-Checked Claim Retrieval
AKCIT at SemEval-2025 Task 11: Investigating Data Quality in Portuguese Emotion Recognition
RAGthoven at SemEval 2025 - Task 2: Enhancing Entity-Aware Machine Translation with Large Language Models, Retrieval Augmented Generation and Function Calling
CAIDAS at SemEval-2025 Task 7: Enriching Sparse Datasets with LLM-Generated Content for Improved Information Retrieval
Swushroomsia at SemEval-2025 Task 3: Probing LLMs' Collective Intelligence for Multilingual Hallucination Detection
Tewodros at SemEval-2025 Task 11: Multilingual Emotion Intensity Detection using Small Language Models
CHILL at SemEval-2025 Task 2: You Can’t Just Throw Entities and Hope - Make Your LLM to Get Them Right
Narrlangen at SemEval-2025 Task 10: Comparing (mostly) simple multilingual approaches to narrative classification
LATE-GIL-NLP at Semeval-2025 Task 10: Exploring LLMs and transformers for Characterization and extraction of narratives from online news
LATE-GIL-NLP at SemEval-2025 Task 11: Multi-Language Emotion Detection and Intensity Classification Using Transformer Models with Optimized Loss Functions for Imbalanced Data
Team INSAntive at SemEval-2025 Task 10: Hierarchical Text Classification using BERT

15:30-16:00 Coffee break

16:00-16:30 Concluding Remarks and Introducing new tasks