Papers
Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs
Michael JQ Zhang, Eunsol Choi
MLKV: Multi-Layer Key-Value Heads for Memory Efficient Transformer Decoding
Zayd Muhammad Kawakibi Zuhri, Muhammad Farid Adilazuarda, Ayu Purwarianti et al.
Constraining Sequential Model Editing with Editing Anchor Compression
Hao-Xiang Xu, Jun-Yu Ma, Zhen-Hua Ling et al.
Multi-Stage LLM Fine-Tuning with a Continual Learning Setting
Changhao Guan, Chao Huang, Hongliang Li et al.
An Optimizable Suffix Is Worth A Thousand Templates: Efficient Black-box Jailbreaking without Affirmative Phrases via LLM as Optimizer
Weipeng Jiang, Zhenting Wang, Juan Zhai et al.
BRIEF: Bridging Retrieval and Inference for Multi-hop Reasoning via Compression
Yuankai Li, Jia-Chen Gu, Di Wu et al.
UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models
Yuzhe Yang, Yifei Zhang, Yan Hu et al.
ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis
Zeao Tu, Xiangdi Meng, Yu He et al.
Gender Bias in Instruction-Guided Speech Synthesis Models
Chun-Yi Kuan, Hung-yi Lee
Transformer-based Causal Language Models Perform Clustering
Xinbo Wu, Lav R. Varshney
Where is this coming from? Making groundedness count in the evaluation of Document VQA models
Armineh Nourbakhsh, Siddharth Parekh, Pranav Shetty et al.
Aligning to Constraints for Data-Efficient Language Model Customization
Fei Wang, Chao Shang, Shuai Wang et al.
From Single to Multi: How LLMs Hallucinate in Multi-Document Summarization
Catarina G Belém, Pouya Pezeshkpour, Hayate Iso et al.
Representation-to-Creativity (R2C): Automated Holistic Scoring Model for Essay Creativity
Deokgi Kim, Joonyoung Jo, Byung-Won On et al.
Does Data Contamination Detection Work (Well) for LLMs? A Survey and Evaluation on Detection Assumptions
Yujuan Fu, Ozlem Uzuner, Meliha Yetisgen et al.
LLM-Generated Passphrases That Are Secure and Easy to Remember
Jie S. Li, Jonas Geiping, Micah Goldblum et al.
A Context-Aware Contrastive Learning Framework for Hateful Meme Detection and Segmentation
Xuanyu Su, Yansong Li, Diana Inkpen et al.
Avoiding Copyright Infringement via Large Language Model Unlearning
Guangyao Dou, Zheyuan Liu, Qing Lyu et al.
Evaluation of Multilingual Image Captioning: How far can we get with CLIP models?
Goncalo Emanuel Cavaco Gomes, Chrysoula Zerva, Bruno Martins
On the Feasibility of In-Context Probing for Data Attribution
Cathy Jiao, Weizhen Gao, Aditi Raghunathan et al.
MoLA: MoE LoRA with Layer-wise Expert Allocation
Chongyang Gao, Kezhen Chen, Jinmeng Rao et al.
Induction Heads as an Essential Mechanism for Pattern Matching in In-context Learning
Joy Crosbie, Ekaterina Shutova
OLMES: A Standard for Language Model Evaluations
Yuling Gu, Oyvind Tafjord, Bailey Kuehl et al.
Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias
Yuen Chen, Vethavikashini Chithrra Raghuram, Justus Mattern et al.