SemEval-2026 Schedule

SemEval-2026 will be collocated with ACL 2026 at The Grand Hyatt Manchester, San Diego.

Online poster sessions will be held on Gather.

All in-person activities will be held in LOCATION. Oral sessions and invited talk will also be streamed on Zoom.

Friday, July 3rd

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

09:30-10:30 Invited Talk, Alex Warstadt: Meaning from Melody: Quantifying the Information Contribution of Prosody in Speech with Multimodal LLMs.

Talk information

NLP research and applications often conflate language with text, but spoken language is actually conveyed across multiple channels, including facial expression, gesture, and prosody. Prosody is the melody of speech, encompassing non-segmental acoustic features such as pitch, rhythm, and loudness. I present a growing body of work in NLP studying the intersection of prosody and text. Using speech models and information theory, we quantify how redundant and novel information are conveyed through the prosodic channel in English and tone languages. Then, we present a new multimodal LM architecture that integrates prosody and text. We use our model to better understand the impact of prosody on language acquisition and the processing of social dimensions of meaning, such as sarcasm and emotion.

Bio: Alex Warstadt is an Assistant Professor in the Halıcıoğlu Data Science Institute and Department of Linguistics at the University of California San Diego. He runs the Learning, Meaning, and Natural Language (LeMON) Lab, an interdisciplinary group focusing on research in linguistics, computational cognitive modeling, and natural language processing. Prior to coming to UCSD, he completed a PhD in linguistics at New York University in 2022 advised by Sam Bowman, and he was a postdoctoral fellow at ETH Zürich from 2022-2024 in Ryan Cotterell's lab.

10:30-11:00 Coffee break

11:00-12:30 Oral Session I: Tasks 1-6 [12+3 minutes each]

12:30-14:00 Lunch break

14:00-15:00 *SEM Keynote

15:00-15:30 Oral Session II: Tasks 7-8 [12+3 minutes each]

15:30-16:00 Coffee break

16:00-17:30 Poster Session I (In-Person and Virtual)

In-Person

SemEval-2026 Task 1: MWAHAHA, Models Write Automatic Humor And Humans Annotate
lmfaoooo at SemEval-2026 Task 1: Humor Is an Audience. Preference Modeling for Constrained Humor Generation
SemEval-2026 Task 2: Predicting Variation in Emotional Valence and Arousal over Time from Ecological Essays
VerbaNex AI at SemEval-2026 Task 2: DeBERTa for Longitudinal Valence and Arousal Prediction
SemEval-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis (DimABSA)
CYUT at SemEval-2026 Task 3: Multi-Task Dimensional Aspect Sentiment Regression with Polar Multi-Zone Labeling in VA Space
NYCU Speech Lab at SemEval-2026 Task 3: Heterogeneous Model Ensemble with Adaptive Weighted Voting for Dimensional Aspect Sentiment Quadruplet Extraction
SCU_Mesclab at SemEval-2026 Task 3: An Adaptive Dual-Track Framework for Dimensional Aspect-Based Sentiment Analysis
YangS_team at SemEval-2026 Task 3: Transformer-Based Aspect-Aware Regression for Dimensional Sentiment and Stance Analysis
UNF-BMI at SemEval-2026 Task 3: Research Domain Criteria-Guided Large Language Models for Dimensional Aspect-Based Sentiment Analysis
Team BOBW (Best Of Both Worlds) at SemEval-2026 Task 3: Modular Cross-Attention Encoders for Dimensional Aspect-Based Sentiment Analysis
CLRG at SemEval-2026 Task 3: One Size Does Not Fit All: A Resource Adaptive Framework for Dimensional Sentiment Regression
AILS-NTUA at SemEval-2026 Task 3: Efficient Dimensional Aspect-Based Sentiment Analysis
SemEval-2026 Task 4: Narrative Story Similarity and Narrative Representation Learning
NarSiL at SemEval-2026 Task 4: A Multi-Expert, Multi-Pathway System for Narrative Story Similarity
SoloSemantics at SemEval-2026 Task 4: Triplet-Tuned MPNet for Story Similarity
VerbaNexAI at SemEval-2026 Task 4: Two-Stage Narrative Similarity via Fine-Tuned Bi-Encoder with MLP Ensemble
TFB at SemEval-2026 Task 4: Diagnosing Model Failures in Narrative Understanding
CascadeMind at SemEval-2026 Task 4: A Hybrid Neuro-Symbolic Cascade for Narrative Similarity
SemEval-2026 Task 5: Rating Plausibility of Word Senses in Ambiguous Stories through Narrative Understanding
VerbaNexAI at SemEval-2026 Task 5: Few-Shot Chain-of-Thought with Selective Self-Consistency and Isotonic Calibration for Word Sense Plausibility Rating
ZYC at SemEval-2026 Task 5: Application of BERT-based Contextual Embeddings Similarity for WSD
VerbaNexAI at SemEval-2026 Task 6: Automatic Detection of Political Evasion through Hierarchical Classification with RoBERTa Large
VerbaNexAI at SemEval-2026 Task 7: Integrating Web Snippets and RAG for the Evaluation of Multilingual Cultural Knowledge in LLMs
NLPGroup8 at SemEval-2026 Task 2: Diverse Ensembles and Hierarchical Transformers for Emotional State Prediction
NTNU-SMIL at SemEval-2026 Task 3: Calibration-Aware Ensemble Learning for Robust Valence–Arousal Prediction in Dimensional Stance Analysis (DimStance)

Virtual

blue at SemEval-2026 Task 4: Synergizing Long-Context Reranking with Semantic Similarity for Narrative Alignment
ttda704 at SemEval-2026 Task 6: Structured Chain-of-Thought Prompting for Political Evasion Detection
ttda704 at SemEval-2026 Task 4: Modeling Narrative Structures via Pseudonymization and Multi-View Sentence Alignment
harapalb at SemEval-2026 Task 4: Multi-Signal Neuro-Symbolic Ensembles for Narrative Similarity
LIAAD INESCTEC at SemEval-2026 Task 4: Unsupervised Narrative Similarity via Discourse Representation Structures and Sentence Embeddings
wangkongqiang at SemEval-2026 Task 1: MWAHAHA- Competition on Humor Generation
wangkongqiang at SemEval-2026 Task 7: Everyday Knowledge Across Diverse Languages and Cultures
ConTexT at SemEval-2026 Task 5: Rating Plausibility of word senses in ambiguous stories through narrative understanding
Interpretable Feature Engineering Rivals Large Language Models for Word Sense Plausibility Prediction
ICT-NLP at SemEval-2026 Task 3: Less Is More — Multilingual Encoder with Joint Training and Adaptive Ensemble for Dimensional Aspect Sentiment Regression
NCL&HKU-NarrSim at SemEval-2026 Task 4: Aspect-Based Agents and Supervised Contrastive Embeddings for Narrative Similarity
MoodMetric at SemEval-2026 Task-4: Narrative Story Similarity and Narrative Representation Learning
Cryptix at SemEval-2026 Task 4: Zero-Shot Bi-Encoder Modeling for Narrative Story Similarity - A Sentence Transformer Approach
SCUZANE at SemEval-2026 Task 3: Dimensional Aspect-based Sentiment Analysis with Supervised Contrastive Regression and R-Drop Regularization
Spinfo Cologne at SemEval-2026 Task 4: Explainable Creation of Narrativity Embeddings
PAI at SemEval-2026 Task 3: An LLM and Data Redistribution Adaptation-Based Predictive Strategy for Valence-Arousal Scores
Team VYN at SemEval-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis
HUS@NLP-VNU at SemEval-2026 Task 3: Dual-Stream Syntax-Aware Modeling and Direct Preference Optimization for Dimensional ABSA
Habib University at SemEval-2026 Task 3: A Pipeline Approach for Dimensional Aspect-Based Sentiment Analysis
UKP_Psycontrol at SemEval-2026 Task 2: Modeling Valence and Arousal Dynamics from Text
Scmhl5 at SemEval-2026 Task 3: Uncertainty-Aware Adversarial Learning for Embedding Enhancement in Dimensional Aspect-Based Sentiment Analysis
DUTIR at SemEval-2026 Task 4: Narrative Story Similarity and Narrative Representation Learning
SRCB at SemEval-2026 Task 5: A Multi-Target Finetuning Framework for Large Language Models with Joint Regression and Text Generation
looploop at SemEval-2026 Task 3: A Dimensional Aspect-Based Sentiment System with DeBERTa Regression and Qwen3 Instruction Fine-Tuning
RPI Team at SemEval-2026 Task 3: An LLM-Encoder Ensemble for Coarse-to-Fine Valence-Arousal Sentiment Prediction
cclin at SemEval-2026 Task 2: SLM-Enhanced Lightweight Multi-BERT Ensemble for Longitudinal Affect Assessment
DualAxis AI at SemEval-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis
nchellwig at SemEval-2026 Task 3: Self-Consistent Structured Generation (SCSG) for Dimensional Aspect-Based Sentiment Analysis using Large Language Models
SokraTUM at SemEval-2026 Task 3: A hybrid cascade of Label Distribution Learning, RAG supported generative extraction and contrastive metric learning for dimensional sentiment analysis
Team UBSE at SemEval-2026 Task 4: Adapting Generalist Embeddings for Narrative Representations
CuriosAI at SemEval-2026 Task 4: A Comprehensive Study of Zero-Shot versus Fine-Tuned Approaches for Narrative Similarity
"AGI'' Team at SemEval-2026 Task 2: Predicting Variation in Emotional Valence and Arousal over Time from Ecological Essays
PICT at SemEval-2026 Task 3: A Transformer-Based System for Dimensional Aspect-Aware Sentiment Regression with Weighted Layer Pooling
SemEval-2026 Task 7: Everyday Knowledge Across Diverse Languages and Cultures
AFourP at SemEval-2026 Task 2: Predicting Variation in Emotional Valence and Arousal over Time from Ecological Essays
SLPG_FJWU_Insa at SemEval-2026 Task 1: Enhancing Linguistic Creativity for English Text-Based Humor
UAlberta at SemEval-2026 Task 2: Temporal Fusion Models for Predicting Affect Over Time
kirito at SemEval-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis via Sentence Structure Parsing Preprocessing and Prompt-Enhanced Instruction Tuning
UAlberta at SemEval-2026 Task 5: Disambiguating Stories via Task Decomposition
XplaiNLP at SemEval-2026 Task 1: BVAHAHA - Benign Violation Algorithm for Humor and Harmless Absurdity
PFW at SemEval-2026 Task 6: Multi-Seed DeBERTa Ensembles for Political Response Clarity and Evasion Classification
MarSan at SemEval-2026 Task 4: Narrative Similarity via Sentence-BERT Metric Learning with Triple-Derived Losses
Rating Plausibility of Word Senses in Ambiguous Sentences Using Multi-Architecture Analysis
Team HITS at SemEval-2026 Task 4: Enhancing narrative text embedding model training with hard negatives generation and self-distillation

Saturday, July 4th

15:00-15:30 Oral Session III: Tasks 9-13 [12+3 minutes each]

10:30-11:00 Coffee break

11:00-11:10 Oral Session IV: Best Track papers presentation

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

11:10-12:30 Oral Session V: Best System papers presentation

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

12:30-14:00 Lunch break

14:00-15:30 Poster Session II: System Description Papers (In-Person and Virtual)

In-Person

MindMiner at SemEval-2026 Task 10: Multi-Model Approaches to Conspiracy Detection and Psycholinguistic Marker Extraction
LATE-iimas at SemEval-2026 Task 10: Conspiracy Detection via DeBERTa-v3 Ensemble and Weighted Loss Optimization
AILS-NTUA at SemEval-2026 Task 10: Agentic LLMs for Psycholinguistic Marker Extraction and Conspiracy Endorsement Detection
FregeLogic at SemEval 2026 Task 11: A Hybrid Neuro-Symbolic Architecture for Content-Robust Syllogistic Validity Prediction
GheGheGhe at SemEval-2026 Task 11: Decoupling Logic from Belief with Bias-Targeted Fine-Tuning and Neuro-Symbolic Syllogistic Reasoning
Team ewelinaksiez at SemEval-2026 Task 11: Reducing Content Bias in Syllogistic Reasoning via Semantic Abstraction
UFAL-CUNI at SemEval-2026 Task 11: An Efficient Modular Neuro-symbolic Method for Syllogistic Reasoning
CausalMinds at SemEval-2026 Task 12: Simple Fine-Tuning with Option Shuffling Outperforms Complex Pipelines for Abductive Event Reasoning
d-itlab at SemEval-2026 Task 12: Per-Option Surprisal and Multi-Stage Gating for Precision-Oriented Causal Reasoning
UCSC-NLP at SemEval-2026 Task 13: Multi-View Generalization and Diagnostic Analysis of Machine-Generated Code Detection
Dream at SemEval-2026 Task 13: SALSA for Single-Pass Machine-Generated Code Detection
ASTraNet at SemEval-2026 Task 13: Not All Code Looks the Same: Multi-View Structural and Semantic Detection of Machine-Generated Code
LATE-IIMAS at SemEval-2026 Task 13: Evaluating GNNs, PLMs, LLMs, and Stylometry for Automatic Code Identification
AKCIT at SemEval-2026 Task 13: A Lightweight LightGBM Baseline for Cross-Language Detection of LLM-Generated Code
Caraman at SemEval-2026 Task 8: Three-Stage Multi-Turn Retrieval with Query Rewriting, Hybrid Search, and Cross-Encoder Reranking
H-RAG at SemEval-2026 Task 8: Hierarchical Parent–Child Retrieval for Multi-Turn RAG Conversations
IIMAS-RAG at SemEval-2026 Task 8: Hybrid Sparse-Dense Retrieval and Answerability-Conditioned Generation for Multi-Turn RAG
Training-Free Multi-Query Fusion for Robust Conversational Retrieval
uva-irlab-conv at SemEval-2026 Task 8: Multi-Turn RAG with Learned Sparse Retrieval and Listwise Reranking
AKCIT-UFG at SemEval-2026 Task 8: Structured Chunking and Optimized Query Reformulation for Efficient Multi-Turn Retrieval
CYUT at SemEval-2026 Task 9: Monolingual vs. Multilingual LoRA Tuning for Multicultural and Multievent Polarization Detection
UTokyo Tsuruoka Lab at SemEval-2026 Task 9: Efficient Single Forward Pass Inference for Multi-Label Polarization Classification
NYCU-NLP at SemEval-2026 Task 9: Stacking Small Language Models for Multilingual, Multicultural and Multievent Polarization Detection
PSK at SemEval-2026 Task 9: Multilingual Polarization Detection Using Ensemble Gemma Models with Synthetic Data Augmentation
AILS-NTUA at SemEval-2026 Task 8: Query Diversity via Nested Reciprocal Rank Fusion and Evidence-Guided Agentic Generation for Multi-Turn RAG
PolarMind at SemEval-2026 Task 9: Leveraging LaBSE with Progressive Curriculum Learning for Multicultural Polarization
SemEval-2026 Task 11: Disentagling Contenta and Formal Reasoning in Large Language Models
GUIR at SemEval-2026 Task 8: Training-Free Multi-Query Fusion for Robust Conversational Retrieval

Virtual

SEF-CLGC at SemEval-2026 Task 11: Logical Notation Impact on Language Model Performance
CUET_Luminaries_0227 at SemEval-2026 Task 13: Invariance-Oriented Representation Learning for Robust AI-Generated Code Detection
CUET_Luminaries at SemEval-2026 Task 11: Disentangling Logical Validity from Semantic Plausibility through Canonical Abstraction
UMUTeam at SemEval-2026 Task 10: Transformer Ensembles for Conspiratorial Span Extraction and Detection
NJUST_KMG at SemEval 2026 Task 10 PsyCoMark—Subtask 2: Conspiracy Detection
wangkongqiang at SemEval-2026 Task 10: PsyCoMark - Psycholinguistic Conspiracy Marker Extraction and Detection
wangkongqiang at SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online Polarization
HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization
TransformerTrio at SemEval-2026 Task 13: Navigating Domain Shift and Representation Instability in Machine-Generated Code Detection
HU at SemEval-2026 Task 10: Psycholinguistic Conspiracy Marker Extraction and Detection
RaguTeam at SemEval-2026 Task 8: Meno and Friends in a Judge-Orchestrated LLM Ensemble for Faithful Multi-Turn Response Generation
GenAIus at SemEval-2026 Task 8: Beyond Retrieval with Relevance-Aware RAG for Faithful Multi-Turn Generation
Königsberg at SemEval-2026 Task 13: Beyond Language Models: A Low-Resource Feature-Driven and Data-Flow Embedding Approach for Machine-Generated Code Detection
Rating Plausibility of Word Senses in Ambiguous Sentences Using Multi-Architecture Analysis
Truth Gradient at SemEval-2026 Task 10: Mean Pooling and Narrative Density for Conspiracy Belief Detection
NLP-CEIA-UFG at SemEval-2026 Task 8: Iterative Retrieval with Notes-Guided Query Refinement for Multi-Turn RAG
Sifei at SemEval-2026 Task 8: Hybrid Retrieval and Query Rewriting for Multi-Turn RAG
YNU-HPCC at SemEval-2026 Task 10: Pretrained DistilBERT Models for Conspiracy Marker Extraction and Detection
IITKanBDone at SemEval-2026 Task 8: ELSER-Based Sparse Retrieval with Mistral-7B for Multi-Turn RAG Evaluation
ITLC at SemEval-2026 Task 11: Normalization and Deterministic Parsing for Formal Reasoning in LLMs
YNU-HPCC at SemEval-2026 Task 8: Parallel Generation and Multi-Metric Reranking for Faithful Extractive RAG
MSqrd at SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online Polarization
Paper 491: NAMAA at SemEval-2026 Task 9: Comparing Generative, Retrieval-Augmented, and Discriminative Methods for Arabic Online Polarization Detection and Type Classification
CredenceAI at SemEval-2026 Task 10: A Span-Consistency Network with Cross-Marker Attention for Conspiracy Marker Extraction
YNU-NLP at SemEval-2026 Task 11: A Neuro-Symbolic Approach with Reflexion Mechanism Disentangling Content and Formal Reasoning in Language Models
NIT-Agartala-NLP-Team at SemEval-2026 Task 9: A Weighted Soft-Voting Ensemble Framework of Fine-Tuned LLMs for Binary and Multi-Label Polarization Detection
Seals-NLP at SemEval-2026 Task 9: A Comparative Study of Transformer Architectures for Polarization Detection
INFOTEC-NLP at SemEval-2026 Task 9: Comparing Regional Transformers and Bag-of-Words Approaches for Polarization Detection in Spanish
NUST CodeIntel at SemEval-2026 Task 13: Cross-Domain Detection of Machine-Generated Code via Stylometric Features and Transformer Models
Lingo_Research_Group at SemEval-2026 Task 9: Evaluating Prompt Variants for Polarization Detection
Team_Omega at SemEval-2026 Task 13: Frozen vs. Trainable Representations for Out-of-Distribution AI-Generated Code Detection: A CodeBERT Fine-Tuning Study
NUST PsyAI at SemEval-2026 Task 10: Parameter-Efficient RoBERTa for Conspiracy Detection and Character-Level Marker Extraction
CodeDet-NITS at SemEval-2026 Task 13: AI Code Authorship Detection Beyond Truncation
Segmentation Fault at SemEval-2026 Task 13: A Regularization-First Approach with Generator-Based Out-of-Distribution Splits for Detecting AI-Generated Code
Team HausaNLP at SemEval-2026 Task 9: Tackling Class Imbalance in Low-Resource Hausa Polarization Detection
MedHastra at SemEval-2026 Task 13: Stylometric Ensembles and Transformer Fine-Tuning for Robust AI Code Detection, Attribution, and Adversarial Analysis
CuriosAI at SemEval-2026 Task 8: Hybrid retrieval system with repeated sampling for generation
pfr812 at SemEval-2026 Task 9: Multilingual Polarization Detection via Hybrid XLM-RoBERTa with Targeted Data Augmentation and Imbalance-Aware Training
VARH-AI at SemEval-2026 Task 10: Exploiting Architectural Diversity with Transformer-SSM Ensembles and Confidence-Based Iterative Refinement for Conspiracy Detection
SemEval-2026 Task 10: PsyCoMark -- Psycholinguistic Conspiracy Marker Extraction and Detection
LAFED at SemEval-2026 Task 13: Language-Agnostic Feature Engineering for Cross-Lingual AI-Generated Code Detection
Team p1 at SemEval-2026 Task 5: Semantic Bridge - Augmented Encoding for Word Sense Plausibility
CuriosAI at SemEval-2026 Task 10: Hybrid approaches to conspiracy span extraction and conspiracy detection
CUET_320 at SemEval-2026 Task 10: Few-Shot Large Language Models for Psycholinguistic Marker Extraction and Conspiracy Detection
YoungDSMLKZ at SemEval-2026 Task 13: MIL-UniXcoder with Meta-Stacking and Handcrafted Features for AI-Generated Code Detection
PFW Task 8 at SemEval-2026 Task 8: Lightweight Tri-Fusion Retrieval with Prompt-Engineered Faithful Generation for Multi-Turn RAG
ShefFriday at SemEval-2026 Task 9: LLM-Based Annotation Methods for Detecting Multilingual, Multicultural and Multievent Online Polarisation
zhangpeng at SemEval-2026 Task 10: PsyCoMark - Psycholinguistic Conspiracy Marker Extraction and Detection

15:30-16:00 Coffee break

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