Update pubs

Author: jiachenli94

_cite/.cache/cache.db

@@ -114,32 +114,6 @@
   - Embodied AI
   plugin: sources.py
   file: sources.yaml
-- title: 'HEAL: An Empirical Study on Hallucinations in Embodied Agents Driven by
-    Large Language Models'
-  authors:
-  - T. Chakraborty
-  - U. Ghosh
-  - X. Zhang
-  - FF. Niloy
-  - Y. Dong
-  - J. Li
-  - A. Roy-Chowdhury
-  - and C. Song
-  publisher: under review
-  image: ./paper_images/heal2025.png
-  buttons:
-  - type: paper_link
-    text: arXiv
-    link: https://arxiv.org/abs/2506.15065
-  tags:
-  - Embodied AI
-  - Foundation Models
-  - Vision Language
-  - Generalization/Robustness
-  - Safety
-  - Uncertainty Quantification
-  plugin: sources.py
-  file: sources.yaml
 - title: Can Large Vision Language Models Read Maps Like a Human?
   authors:
   - S. Xing
@@ -343,6 +317,34 @@
   - Uncertainty Quantification
   plugin: sources.py
   file: sources.yaml
+- title: 'HEAL: An Empirical Study on Hallucinations in Embodied Agents Driven by
+    Large Language Models'
+  authors:
+  - T. Chakraborty
+  - U. Ghosh
+  - X. Zhang
+  - FF. Niloy
+  - Y. Dong
+  - J. Li
+  - A. Roy-Chowdhury
+  - and C. Song
+  publisher: Conference on Empirical Methods in Natural Language Processing (EMNLP
+    2025 Findings)
+  date: '2025-01-08'
+  image: ./paper_images/heal2025.png
+  buttons:
+  - type: paper_link
+    text: arXiv
+    link: https://arxiv.org/abs/2506.15065
+  tags:
+  - Embodied AI
+  - Foundation Models
+  - Vision Language
+  - Generalization/Robustness
+  - Safety
+  - Uncertainty Quantification
+  plugin: sources.py
+  file: sources.yaml
 - title: Robust Offline Imitation Learning from Diverse Auxiliary Data
   authors:
   - U. Ghosh

_data/citations.yaml

@@ -117,30 +117,7 @@
     - Embodied AI
 
 
-- title: "HEAL: An Empirical Study on Hallucinations in Embodied Agents Driven by Large Language Models"
-  authors:
-    - T. Chakraborty
-    - U. Ghosh
-    - X. Zhang
-    - FF. Niloy
-    - Y. Dong
-    - J. Li
-    - A. Roy-Chowdhury
-    - and C. Song
-  publisher: "under review"
-  # date: 2025-06-09
-  image: ./paper_images/heal2025.png
-  buttons:
-    - type: paper_link
-      text: arXiv
-      link: https://arxiv.org/abs/2506.15065
-  tags:
-    - Embodied AI
-    - Foundation Models
-    - Vision Language
-    - Generalization/Robustness
-    - Safety
-    - Uncertainty Quantification
+
 
 
 
@@ -352,6 +329,31 @@
     - Scene Understanding
     - Uncertainty Quantification
 
+- title: "HEAL: An Empirical Study on Hallucinations in Embodied Agents Driven by Large Language Models"
+  authors:
+    - T. Chakraborty
+    - U. Ghosh
+    - X. Zhang
+    - FF. Niloy
+    - Y. Dong
+    - J. Li
+    - A. Roy-Chowdhury
+    - and C. Song
+  publisher: "Conference on Empirical Methods in Natural Language Processing (EMNLP 2025 Findings)"
+  date: 2025-01-08
+  image: ./paper_images/heal2025.png
+  buttons:
+    - type: paper_link
+      text: arXiv
+      link: https://arxiv.org/abs/2506.15065
+  tags:
+    - Embodied AI
+    - Foundation Models
+    - Vision Language
+    - Generalization/Robustness
+    - Safety
+    - Uncertainty Quantification
+
 
 - title: "Robust Offline Imitation Learning from Diverse Auxiliary Data"
   authors:
@@ -374,8 +376,6 @@
     - Generalization/Robustness
 
 
-
-
 - title: "CMP: Cooperative Motion Prediction with Multi-Agent Communication"
   authors:
     - Z. Wang\*

_data/sources.yaml

@@ -8,6 +8,7 @@ nav:
 - 08/2025: Prof. Li received a research grant from NSF to investigate Trustworthy and Resilient Intelligence for Multi-Agent Systems!
 - 08/2025: Prof. Li is invited to serve as an Area Chair/Associate Editor for CVPR 2026, ICLR 2026, ICRA 2026, and IV 2026!
 - 08/2025: [One paper](https://arxiv.org/abs/2508.05634) is accepted at Conference on Robot Learning (CoRL 2025)!
+- 08/2025: [One paper](https://arxiv.org/abs/2506.15065) is accepted at the Conference on Empirical Methods in Natural Language Processing (EMNLP 2025 Findings)!
 - 08/2025: Prof. Li will co-organize [ICCV 2025 Workshop on End-to-End 3D Learning](https://e2e3d.github.io/)!
 - 07/2025: Prof. Li is invited as a Guest Editor for a [IEEE T-RO Special Issue on Foundation Models for Robotics](https://www.ieee-ras.org/publications/t-ro/special-issues/foundation-models-for-robotics)!
 - 06/2025: [Our paper](https://openreview.net/forum?id=vR4KJOkgwh) is selected as a Best Paper Award Finalist at the [RSS 2025 Workshop on Out-of-Distribution Generalization in Robotics](https://sites.google.com/stanford.edu/ood-workshop-rss-25/home)!