Papers
ReMoDetect: Reward Models Recognize Aligned LLM's Generations
Hyunseok Lee, Jihoon Tack, Jinwoo Shin
Graph-based Uncertainty Metrics for Long-form Language Model Generations
Mingjian Jiang, Yangjun Ruan, Prasanna Sattigeri et al.
LLM Evaluators Recognize and Favor Their Own Generations
Arjun Panickssery, Samuel R. Bowman, Shi Feng
HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection
Xuefeng Du, Chaowei Xiao, Yixuan Li
Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass
Ethan Shen, Alan Fan, Sarah Pratt et al.
Lightweight reranking for language model generations
Siddhartha Jain, Xiaofei Ma, Anoop Deoras et al.
Calibrating Large Language Models Using Their Generations Only
Dennis Ulmer, Martin Gubri, Hwaran Lee et al.
The Counterfeit Conundrum: Can Code Language Models Grasp the Nuances of Their Incorrect Generations?
Alex Gu, Wen-Ding Li, Naman Jain et al.
Improving LLM Generations via Fine-Grained Self-Endorsement
Ante Wang, Linfeng Song, Baolin Peng et al.
THRONE: An Object-based Hallucination Benchmark for the Free-form Generations of Large Vision-Language Models
Prannay Kaul, Zhizhong Li, Hao Yang et al.
ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations
Maitreya Patel, Changhoon Kim, Sheng Cheng et al.
CEV-LM: Controlled Edit Vector Language Model for Shaping Natural Language Generations
Samraj Moorjani, Adit Krishnan, Hari Sundaram
Atomic Self-Consistency for Better Long Form Generations
Raghuveer Thirukovalluru, Yukun Huang, Bhuwan Dhingra
Calibrating Long-form Generations From Large Language Models
Yukun Huang, Yixin Liu, Raghuveer Thirukovalluru et al.
Grounding Gaps in Language Model Generations
Omar Shaikh, Kristina Gligoric, Ashna Khetan et al.
Rephrasing Invokes Better Generations for Large Language Models
Haoran Yang, Hongyuan Lu, Wai Lam