Papers
Predicting Language Models’ Success at Zero-Shot Probabilistic Prediction
Kevin Ren, Santiago Cortes-Gomez, Carlos Miguel Patiño et al.
Learning API Functionality from In-Context Demonstrations for Tool-based Agents
Bhrij Patel, Ashish Jagmohan, Aditya Vempaty
LastingBench: Defend Benchmarks Against Knowledge Leakage
Yixiong Fang, Tianran Sun, Yuling Shi et al.
CMT-Eval: A Novel Chinese Multi-turn Dialogue Evaluation Dataset Addressing Real-world Conversational Challenges
Siyu Tian, Kaijie Mo, Yupei Wang et al.
Probing Semantic Routing in Large Mixture-of-Expert Models
Matthew Lyle Olson, Neale Ratzlaff, Musashi Hinck et al.
Universal Acoustic Adversarial Attacks for Flexible Control of Speech-LLMs
Rao Ma, Mengjie Qian, Vyas Raina et al.
LlmFixer: Fix the Helpfulness of Defensive Large Language Models
Zelong Yu, Xiaoming Zhang, Litian Zhang et al.
Lemma Dilemma: On Lemma Generation Without Domain- or Language-Specific Training Data
Olia Toporkov, Alan Akbik, Rodrigo Agerri
Parallel Communities Across the Surface Web and the Dark Web
Wenchao Dong, Megha Sundriyal, Seongchan Park et al.
Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation
Xing Zhang, Jiaheng Wen, Fangkai Yang et al.
LegoSLM: Connecting LLM with Speech Encoder using CTC Posteriors
Rao Ma, Tongzhou Chen, Kartik Audhkhasi et al.
No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users
Mengxuan Hu, Hongyi Wu, Ronghang Zhu et al.
Logic: Long-form Outline Generation via Imitative and Critical Self-refinement
Hengwei Liu, Yongliang Shen, Zhe Zheng et al.
Assess and Prompt: A Generative RL Framework for Improving Engagement in Online Mental Health Communities
Bhagesh Gaur, Karan Gupta, Aseem Srivastava et al.
FOSSIL: Harnessing Feedback on Suboptimal Samples for Data-Efficient Generalisation with Imitation Learning for Embodied Vision-and-Language Tasks
Sabrina McCallum, Amit Parekh, Alessandro Suglia
Are you sure? Measuring models bias in content moderation through uncertainty
Alessandra Urbinati, Mirko Lai, Simona Frenda et al.
AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science
An Luo, Xun Xian, Jin Du et al.
Biology-Instructions: A Dataset and Benchmark for Multi-Omics Sequence Understanding Capability of Large Language Models
Haonan He, Yuchen Ren, Yining Tang et al.
LOHRec: Leveraging Order and Hierarchy in Generative Sequential Recommendation
Jiawen Xie, Haiyang Wu, Deyi Ji et al.
Large Language Models as Reader for Bias Detection
Xuan Luo, Jing Li, Zhong Wenzhong et al.
Following Occam’s Razor: Dynamic Combination of Structured Knowledge for Multi-Hop Question Answering using LLMs
Wei Chen, Zhi Zheng, Lili Zhao et al.
Generation-Augmented Retrieval: Rethinking the Role of Large Language Models in Zero-Shot Relation Extraction
Zehan Li, Fu Zhang, Tianyue Peng et al.
Problem Solved? Information Extraction Design Space for Layout-Rich Documents using LLMs
Gaye Colakoglu, Gürkan Solmaz, Jonathan Fürst
Large Language Model Agents in Finance: A Survey Bridging Research, Practice, and Real-World Deployment
Yifei Dong, Fengyi Wu, Kunlin Zhang et al.
InFact: Informativeness Alignment for Improved LLM Factuality
Roi Cohen, Russa Biswas, Gerard de Melo