- exHarmony: Authorship and Citations for Benchmarking the Reviewer Assignment Problem.- Unraveling the Impact of Visual Complexity on Search as Learning.- Enhancing Utility in Differentially Private Recommendation Data Release via Exponential Mechanism.- CountNet: Utilising Repetition Counts in Sequential Recommendation.- The Impact of Mainstream-Driven Algorithms on Recommendations for Children.- Leveraging Query Terms for Efficient Legal Document Recommendation.- Inducing Diversity in Differentiable Search Indexing.- EGL-DST: Error-Guided Learning for Multidimensional Evaluation Method of Dialogue State Tracking via GPT-4.

- Examining the Impact of Transcript Accuracy on Podcast Search and Re-Ranking.- Ranking Generated Answers: On the Agreement of Retrieval Models with Humans on Consumer Health Questions.- Counterfactual Query Rewriting to Use Historical Relevance Feedback.- Improving Language Model Performance by Training on Prototypical Contradictions.- LiT and Lean: Distilling Listwise Rerankers into Encoder-Decoder Models.- The Impact of Incidental Multilingual Text on the Cross-Lingual Transferring in Monolingual Retrieval.- Approximate Bag-of-Words Top-k Corpus Graphs.- Gradual Negative Matching for LLM Unlearning.

- Fact-Driven Health Information Retrieval: Integrating LLMs and Knowledge Graphs to Combat Misinformation.- Towards Interpretable Radiology Report Generation via Concept Bottlenecks using a Multi-Agentic RAG.- Investigating the Performance of Dense Retrievers for Queries with Numerical Conditions.- Hierarchical Skip Decoding for Efficient Autoregressive Language Model.- Iterative Self-Training for Code Generation via Reinforced Re-Ranking.- Efficient Constant-Space Multi-Vector Retrieval.- DiffGR: A Discrete Diffusion-Based Model for Personalised Recommendation by Reconstructing User-Item Bipartite Graphs.- BAAF - A Framework for Media Bias Detection.

- A Simple but Effective Closed-form Solution for Extreme Multi-label Learning.- Efficient and Effective Conversational Search with Tail Entity Selection.- Large Language Model Can Be a Foundation for Hidden Rationale- Based Retrieval.- SAFERec: Self-Attention and Frequency Enriched Model for Next Basket Recommendation.- Benchmarking Prompt Sensitivity in Large Language Models.- Do LLMs Provide Consistent Answers to Health-Related Questions across Languages?.- Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-ranking.- Benchmark Creation for Narrative Knowledge Delta Extraction Tasks: Can LLMs Help?.

- Passage Segmentation of Documents for Extractive Question Answering.- Can Generative AI Adequately Protect Queries? Analyzing the Trade-off Between Privacy Awareness and Retrieval Effectiveness.- Retrieval-Augmented Neural Team Formation.- A Test Collection for Dataset Retrieval.- A new dataset for keyword extraction from IT job descriptions.- Entity-Aware Cross-Modal Pretraining for Knowledge-based Visual Question Answering.- Patience in Proximity: A Simple Early Termination Strategy for HNSW Graph Traversal in Approximate k-Nearest Neighbor Search.- Improving RAG for Personalization with Author Features and Contrastive Examples.

- E2Rank: Efficient and Effective Layer-wise Reranking.- Token-Level Graphs for Short Text Classification.- Investigating the Scalability of Approximate Sparse Retrieval Algorithms to Massive Datasets.- A Comparative Analysis of Retrieval-Augmented Generation and Crowdsourcing for Fact-Checking.- Exploring the Effectiveness of Multi-stage Fine-tuning for Cross-encoder Re-rankers.