9 citations · 49 across the 27 of their papers we have counts for
4 papers · 1 filter
ClusterFusion: Hybrid Clustering with Embedding Guidance and LLM Adaptation
Yiming Xu, Yuan Yuan, Vijay Viswanathan +1
Text clustering is a fundamental task in natural language processing, yet traditional clustering algorithms with pre-trained embeddings often struggle in domain-specific contexts w…
Checklists Are Better Than Reward Models For Aligning Language Models
Vijay Viswanathan, Yanchao Sun, Shuang Ma +4
Language models must be adapted to understand and follow user instructions. Reinforcement learning is widely used to facilitate this -- typically using fixed criteria such as "help…
BehaviorBox: Automated Discovery of Fine-Grained Performance Differences Between Language Models
Lindia Tjuatja, Graham Neubig
Language model evaluation is a daunting task: prompts are brittle, corpus-level perplexities are vague, and the choice of benchmarks are endless. Finding examples that show meaning…
ZINA: Multimodal Fine-grained Hallucination Detection and Editing
Yuiga Wada, Kazuki Matsuda, Komei Sugiura +1
Multimodal Large Language Models (MLLMs) often generate hallucinations, where the output deviates from the visual content. Given that these hallucinations can take diverse forms, d…