Merge pull request #4 from xpq-tech/main

add PMET and Eva-KELLM benchmark

README.md

@@ -183,6 +183,9 @@ Mor Geva, Roei Schuster, Jonathan Berant, Omer Levy.  [[paper](https://arxiv.org
 
 13. **Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Space**.(EMNLP 2022) <br />
 Mor Geva, Avi Caciularu, Kevin Ro Wang, Yoav Goldberg. [[paper](https://arxiv.org/abs/2203.14680)]
+
+14. **PMET: Precise Model Editing in a Transformer.**<br />
+Xiaopeng Li, Shasha Li, Shezheng Song, Jing Yang, Jun Ma, Jie Yu. [[paper](https://arxiv.org/abs/2308.08742)] [[code](https://github.com/xpq-tech/PMET.git)] 
 #### More Related Papers
 
 1. **FRUIT: Faithfully Reflecting Updated Information in Text**. (NAACL 2022) <br />
@@ -230,6 +233,7 @@ Roi Cohen, Eden Biran, Ori Yoran, Amir Globerson, Mor Geva. [[paper](https://arx
 | **Fact Knowledge**  | [ZSRE](https://github.com/nicola-decao/KnowledgeEditor), [CounterFact](https://rome.baulab.info/), [CounterFact+](https://arxiv.org/abs/2305.17553),[ECBD](https://github.com/yasumasaonoe/entity_knowledge_propagation) [MQUAKE](https://github.com/yasumasaonoe/entity_knowledge_propagation)  |
 |  **Sentiment**   | [Convsent](https://arxiv.org/abs/2206.06520) |
 |  **Bias**   | [Bias in Bios](https://arxiv.org/pdf/2304.00740.pdf) |
+|  **Reasoning**   | [Eva-KELLM](https://arxiv.org/pdf/2308.09954.pdf) |
 |  **Toxic Information**   | [RealToxicityPrompts](https://arxiv.org/abs/2009.11462) |
 <!-- |   **Logical Reasoning**   | [ProofWriter](https://arxiv.org/abs/2012.13048), [EntailmentBank](https://arxiv.org/abs/2104.08661), [RuleTaker](https://www.ijcai.org/proceedings/2020/537), [CLUTRR](https://aclanthology.org/D19-1458/) |
 | **Multimodal Reasoning**  | [SCIENCEQA](https://scienceqa.github.io/)                    |