Papers
Discourse Graph Guided Document Translation with Large Language Models
Viet Thanh Pham, Minghan Wang, Hao-Han Liao et al.
Coordinates from Context: Using LLMs to Ground Complex Location References
Tessa Masis, Brendan O'Connor
CRADLE Bench: A Clinician-Annotated Benchmark for Multi-Faceted Mental Health Crisis and Safety Risk Detection
Grace Byun, Rebecca Lipschutz, Sean T. Minton et al.
ExAnte: A Benchmark for Ex-Ante Inference in Large Language Models
Yachuan Liu, Xiaochun Wei, Lin Shi et al.
Contrastive Learning with Narrative Twins for Modeling Story Salience
Igor Sterner, Alex Lascarides, Frank Keller
TDFlow: Agentic Workflows for Test Driven Development
Kevin Han, Siddharth Maddikayala, Tim Knappe et al.
Improving LLM Domain Certification with Pretrained Guide Models
Jiaqian Zhang, Zhaozhi Qian, Faroq AL-Tam et al.
AutoBool: Reinforcement-Learned LLM for Effective Automatic Systematic Reviews Boolean Query Generation
Shuai Wang, Harrisen Scells, Bevan Koopman et al.
Say It Another Way: Auditing LLMs with a User-Grounded Automated Paraphrasing Framework
Clea Chataigner, Rebecca Ma, Prakhar Ganesh et al.
Attacker’s Noise Can Manipulate Your Audio-based LLM in the Real World
Vinu Sankar Sadasivan, Soheil Feizi, Rajiv Mathews et al.
iBERT: Interpretable Embeddings via Sense Decomposition
Vishal Anand, Milad Alshomary, Kathleen McKeown
Patient-Similarity Cohort Reasoning in Clinical Text-to-SQL
Yifei Shen, Yilun Zhao, Justice Ou et al.
Utterance-level Detection Framework for LLM-Involved Content Detection in Conversational Setting
Muyang Zhou, Huaxia Rui
Deconstructing Instruction-Following: A New Benchmark for Granular Evaluation of Large Language Model Instruction Compliance Abilities
Alberto Purpura, Li Wang, Sahil Badyal et al.
STAMP: Selective Task-Aware Mechanism for Text Privacy
Fengwei Tian, Payel Bhattacharjee, Heidi Hanson et al.
Ultra-Low-Dimensional Prompt Tuning via Random Projection
Zijun Wu, Yongchang Hao, Lili Mou
Aleph-Alpha-GermanWeb: Improving German-language LLM pre-training with model-based data curation and synthetic data generation
Thomas F Burns, Letitia Parcalabescu, Stephan Waeldchen et al.
CORE: Measuring Multi-Agent LLM Interaction Quality under Game-Theoretic Pressures
Punya Syon Pandey, Yongjin Yang, Jiarui Liu et al.
Uncovering Hidden Correctness in LLM Causal Reasoning via Symbolic Verification
Paul He, Yinya Huang, Mrinmaya Sachan et al.
Lexical Popularity: Quantifying the Impact of Pre-training for LLM Performance
Elena Sofia Ruzzetti, Fabio Massimo Zanzotto, Tommaso Caselli
Adaptive LLM-Symbolic Reasoning via Dynamic Logical Solver Composition
Lei Xu, Pierre Beckmann, Marco Valentino et al.
PartisanLens: A Multilingual Dataset of Hyperpartisan and Conspiratorial Immigration Narratives in European Media
Michele Joshua Maggini, Paloma Piot, Anxo Pérez et al.
Persona Prompting as a Lens on LLM Social Reasoning
Jing Yang, Moritz Hechtbauer, Elisabeth Khalilov et al.
Don’t Trust Generative Agents to Mimic Communication on Social Networks Unless You Benchmarked their Empirical Realism
Simon Münker, Nils Schwager, Achim Rettinger