Timearena: Sha** efficient multitasking language agents in a time-aware simulation
Despite remarkable advancements in emulating human-like behavior through Large
Language Models (LLMs), current textual simulations do not adequately address the notion …
Language Models (LLMs), current textual simulations do not adequately address the notion …
Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models
Temporal knowledge graph question answering (TKGQA) poses a significant challenge
task, due to the temporal constraints hidden in questions and the answers sought from …
task, due to the temporal constraints hidden in questions and the answers sought from …
Perceive the Passage of Time: A Systematic Evaluation of Large Language Model in Temporal Relativity
S Chen, Y Zheng, S Li, Q Cheng… - Proceedings of the 31st …, 2025 - aclanthology.org
Temporal perception is crucial for Large Language Models (LLMs) to effectively understand
the world. However, current benchmarks primarily focus on temporal reasoning, falling short …
the world. However, current benchmarks primarily focus on temporal reasoning, falling short …
Will LLMs Replace the Encoder-Only Models in Temporal Relation Classification?
The automatic detection of temporal relations among events has been mainly investigated
with encoder-only models such as RoBERTa. Large Language Models (LLM) have recently …
with encoder-only models such as RoBERTa. Large Language Models (LLM) have recently …
Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning
Large language models (LLMs) have showcased remarkable reasoning capabilities, yet
they remain susceptible to errors, particularly in temporal reasoning tasks involving complex …
they remain susceptible to errors, particularly in temporal reasoning tasks involving complex …
TReMu: Towards Neuro-Symbolic Temporal Reasoning for LLM-Agents with Memory in Multi-Session Dialogues
Temporal reasoning in multi-session dialogues presents a significant challenge which has
been under-studied in previous temporal reasoning benchmarks. To bridge this gap, we …
been under-studied in previous temporal reasoning benchmarks. To bridge this gap, we …
A Context-enhanced Adaptive Graph Network for Time-sensitive Question Answering
Time-sensitive question answering is to answer questions limited to certain timestamps
based on the given long document, which mixes abundant temporal events with an explicit …
based on the given long document, which mixes abundant temporal events with an explicit …