Update README.md

Author: QEpiphany

Diff for: README.md

@@ -41,8 +41,8 @@ Please cite our survey paper if you find this index helpful.
 | Simulation    | SUBER: An RL Environment with Simulated Human Behavior for Recommender Systems            [[paper]](https://openreview.net/forum?id=w327zcRpYn)    | Develops an RL environment using LLM to simulate user feedback                                    |
 | Simulation    | A LLM-based Controllable, Scalable, Human-Involved User Simulator Framework for Conversational Recommender Systems           [[paper]](https://arxiv.org/abs/2405.08035)        | Proposes a framework for LLM-based user simulators in conversational RSs                          |
 | Simulation    | Rethinking the evaluation for conversational recommendation in the era of large language models      [[paper]](https://arxiv.org/abs/2305.13112)  | Suggests new evaluation methods using LLMs                                                        |
-| Simulation    | How Reliable is Your Simulator? Analysis on the Limitations of Current LLM-based User Simulators for Conversational Recommendation      [[paper]](https://dl.acm.org/doi/abs/10.1145/3589335.3651955)   | Examines reliability and limitations of current LLM-based simulators                              |
-| Simulation    | Can Large Language Models Be Good Companions? An LLM-Based Eyewear System with Conversational Common Ground      [[paper]](https://dl.acm.org/doi/abs/10.1145/3659600)    | Develops an LLM-based eyewear system with conversational common ground                            |
+| Simulation    | How Reliable is Your Simulator? Analysis on the Limitations of Current LLM-based User Simulators for Conversational Recommendation      [[paper]](https://dl.acm.org/doi/abs/10.1145/3589335.3651955)   | Examines reliability and limitations of current LLM-based simulators             |
+| Simulation    | Can Large Language Models Be Good Companions? An LLM-Based Eyewear System with Conversational Common Ground      [[paper]](https://dl.acm.org/doi/pdf/10.1145/3659600)    | Develops an LLM-based eyewear system with conversational common ground                            |
 | Simulation    | CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent      [[paper]](https://dl.acm.org/doi/pdf/10.1145/3637528.3671837)    | Uses LLM agent to attack LLM-driven RSs                            |
 | Simulation    |  LLM-Powered User Simulator for Recommender System     [[paper]](https://arxiv.org/pdf/2412.16984)    | Improves the training efficiency and effectiveness of RSs based on reinforcement learning                        |