Can #NLP systems detect stereotypes and hate speech targeting LGBTQIA+ people across English, Italian, Dutch & Persian?
📊 Training/dev data available now!
🗓️ Evaluation: Jan 10–31
👉 stereoqueereval.github.io/how_to_parti...
Can #NLP systems detect stereotypes and hate speech targeting LGBTQIA+ people across English, Italian, Dutch & Persian?
📊 Training/dev data available now!
🗓️ Evaluation: Jan 10–31
👉 stereoqueereval.github.io/how_to_parti...
'Detecting Misogynous Memes with Text & Image Modalities' by Attanasio, @deboranozza.bsky.social, Bianchi. Their novel system uses Perceiver IO, surpassing all previous benchmarks.
#AI #ScienceUpdate
aclanthology.org/2022.semeval...
'Detecting Misogynous Memes with Text & Image Modalities' by Attanasio, @deboranozza.bsky.social, Bianchi. Their novel system uses Perceiver IO, surpassing all previous benchmarks.
#AI #ScienceUpdate
aclanthology.org/2022.semeval...
www.aclweb.org/portal/conte...
www.aclweb.org/portal/conte...
• arXiv cs.CL: PReM: Learning What to Preserve and When to Refresh for Context Compression
• arXiv cs.CL: HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization
→ probbrain.com/news
• arXiv cs.CL: PReM: Learning What to Preserve and When to Refresh for Context Compression
• arXiv cs.CL: HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization
→ probbrain.com/news
• arXiv cs.CL: Learning from Lost Provenance: Multiple Instance Learning for Cancer Registry Tumor Group Classification
• arXiv cs.CL: Lacuna Inc. at SemEval-2026 Task 4: Structurally Gated State-Space Models for Disentangling Narrative Similarity
→ probbrain.com/news
• arXiv cs.CL: Learning from Lost Provenance: Multiple Instance Learning for Cancer Registry Tumor Group Classification
• arXiv cs.CL: Lacuna Inc. at SemEval-2026 Task 4: Structurally Gated State-Space Models for Disentangling Narrative Similarity
→ probbrain.com/news
• arXiv cs.CL: A Self Consistency Based Reranking for Narrative Question Answering
• arXiv cs.CL: ttda704 at SemEval-2026 Task 6: Structured Chain-of-Thought Prompting for Political Evasion Detection
• arXiv cs.CL: DYNA : Dynamic Episodic Memory Networks…
→ probbrain.com/news
• arXiv cs.CL: A Self Consistency Based Reranking for Narrative Question Answering
• arXiv cs.CL: ttda704 at SemEval-2026 Task 6: Structured Chain-of-Thought Prompting for Political Evasion Detection
• arXiv cs.CL: DYNA : Dynamic Episodic Memory Networks…
→ probbrain.com/news
• arXiv cs.CL: What Training Data Teaches RL Memory Agents: An Empirical Study of Curriculum Effects in Memory-Augmented QA
• arXiv cs.CL: DFKI-MLT at SemEval-2026 TASK 7: Steering Multilingual Models Towards Cultural Knowledge
→ probbrain.com/news
• arXiv cs.CL: What Training Data Teaches RL Memory Agents: An Empirical Study of Curriculum Effects in Memory-Augmented QA
• arXiv cs.CL: DFKI-MLT at SemEval-2026 TASK 7: Steering Multilingual Models Towards Cultural Knowledge
→ probbrain.com/news
📸 DNB, Maximilian Kähler, Lisa Kluge CC BY 4.0
📸 DNB, Maximilian Kähler, Lisa Kluge CC BY 4.0
#Multimodal #NLP #Speech #EmotionRecognition #MachineLearning #SemEval
#Multimodal #NLP #Speech #EmotionRecognition #MachineLearning #SemEval
Source: SemEval-2020 Task 11
arxiv.org/abs/2009.0...
Source: SemEval-2020 Task 11
arxiv.org/abs/2009.0...
This is based on research from @SemEvalConf and the paper 👉 arxiv.org/abs/2009.0...
Here’s what we’ll cover ⬇️
This is based on research from @SemEvalConf and the paper 👉 arxiv.org/abs/2009.0...
Here’s what we’ll cover ⬇️
We invite researchers, teams, and solo experimenters to benchmark systems and explore how machines understand stories.
All the details are on our site:
🌐 narrative-similarity-task.github.io
#SemEval #NLP #NarrativeAI #DH #CLS
We invite researchers, teams, and solo experimenters to benchmark systems and explore how machines understand stories.
All the details are on our site:
🌐 narrative-similarity-task.github.io
#SemEval #NLP #NarrativeAI #DH #CLS
(1) iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss
🔍 More at researchtrend.ai/communities/MoMe
(1) GRU: Mitigating the Trade-off between Unlearning and Retention for LLMs
(2) Lacuna Inc. at SemEval-2025 Task 4: LoRA-Enhanced Influence-Based Unlearning for LLMs
🔍 More at researchtrend.ai/communities/MU