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added some papers (#62)
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* added some papers

* merge

---------

Co-authored-by: XuhuiZhou <zhouxuhui2018@gmail.com>
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@andyjliu @XuhuiZhou
andyjliu and XuhuiZhou authored May 20, 2024
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160 changes: 80 additions & 80 deletions components/data/chartData.tsx
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Original file line number Diff line number Diff line change
@@ -1,36 +1,36 @@
export const bar_data = [
{
name: 'Text',
overall: 158,
collaboration: 21,
overall: 162,
collaboration: 22,
competition: 9,
mixed_objectives: 51,
text: 158,
mixed_objectives: 54,
text: 162,
embodied: 7,
virtual: 24,
robotics: 5,
two_agents: 55,
two_agents: 56,
reinforcement_learning: 21,
agents_with_personas: 23,
agents_with_personas: 24,
human: 88,
not_applicable: 142,
rule_based: 52,
prompting_and_in_context_learning: 46,
not_applicable: 147,
rule_based: 55,
more_than_three_agents: 32,
more_information_asymmetrical: 2,
prompting_and_in_context_learning: 47,
qualitative: 35,
human_agent: 55,
human_agent: 56,
implicit_objectives: 18,
more_than_three_agents: 29,
finetuning: 35,
finetuning: 36,
agents_with_memory: 16,
more_omniscient: 3,
pretraining: 18,
model_based: 44,
simulated_humans: 13,
model_based: 45,
simulated_humans: 14,
agent_teams: 6,
more_information_asymmetrical: 1,
health: 18,
education: 4,
policy: 10,
policy: 11,
},
{
name: 'Virtual',
Expand Down Expand Up @@ -132,29 +132,29 @@ export const area_data = [
human: 1,
rule_based: 1,
human_agent: 1,
more_information_asymmetrical: 0,
finetuning: 0,
model_based: 0,
pretraining: 0,
more_than_three_agents: 0,
more_omniscient: 0,
text: 0,
two_agents: 0,
education: 0,
simulated_humans: 0,
not_applicable: 0,
health: 0,
prompting_and_in_context_learning: 0,
agent_teams: 0,
not_applicable: 0,
education: 0,
competition: 0,
model_based: 0,
implicit_objectives: 0,
qualitative: 0,
virtual: 0,
embodied: 0,
finetuning: 0,
fully_omniscient: 0,
policy: 0,
prompting_and_in_context_learning: 0,
qualitative: 0,
text: 0,
agents_with_personas: 0,
fully_omniscient: 0,
competition: 0,
more_than_three_agents: 0,
simulated_humans: 0,
two_agents: 0,
agents_with_memory: 0,
more_information_asymmetrical: 0,
embodied: 0,
pretraining: 0,
more_omniscient: 0,
},
{
name: '2016',
Expand All @@ -176,18 +176,18 @@ export const area_data = [
more_than_three_agents: 1,
model_based: 1,
education: 1,
more_information_asymmetrical: 0,
pretraining: 0,
more_omniscient: 0,
simulated_humans: 0,
not_applicable: 0,
health: 0,
prompting_and_in_context_learning: 0,
agent_teams: 0,
not_applicable: 0,
implicit_objectives: 0,
policy: 0,
prompting_and_in_context_learning: 0,
fully_omniscient: 0,
policy: 0,
simulated_humans: 0,
agents_with_memory: 0,
more_information_asymmetrical: 0,
pretraining: 0,
more_omniscient: 0,
},
{
name: '2017',
Expand All @@ -204,23 +204,23 @@ export const area_data = [
robotics: 1,
qualitative: 1,
human: 1,
more_information_asymmetrical: 0,
finetuning: 0,
model_based: 0,
pretraining: 0,
more_than_three_agents: 0,
more_omniscient: 0,
education: 0,
simulated_humans: 0,
health: 0,
prompting_and_in_context_learning: 0,
agent_teams: 0,
education: 0,
model_based: 0,
implicit_objectives: 0,
collaboration: 0,
embodied: 0,
finetuning: 0,
fully_omniscient: 0,
policy: 0,
prompting_and_in_context_learning: 0,
agents_with_personas: 0,
fully_omniscient: 0,
more_than_three_agents: 0,
simulated_humans: 0,
more_information_asymmetrical: 0,
embodied: 0,
pretraining: 0,
more_omniscient: 0,
},
{
name: '2018',
Expand Down Expand Up @@ -250,10 +250,10 @@ export const area_data = [
model_based: 1,
education: 1,
more_omniscient: 1,
more_information_asymmetrical: 0,
pretraining: 0,
agent_teams: 0,
policy: 0,
more_information_asymmetrical: 0,
pretraining: 0,
},
{
name: '2019',
Expand All @@ -279,14 +279,14 @@ export const area_data = [
agent_teams: 1,
model_based: 1,
health: 1,
more_information_asymmetrical: 0,
pretraining: 0,
more_omniscient: 0,
education: 0,
simulated_humans: 0,
policy: 0,
fully_omniscient: 0,
policy: 0,
simulated_humans: 0,
agents_with_memory: 0,
more_information_asymmetrical: 0,
pretraining: 0,
more_omniscient: 0,
},
{
name: '2020',
Expand Down Expand Up @@ -317,9 +317,9 @@ export const area_data = [
policy: 1,
education: 1,
more_omniscient: 1,
more_information_asymmetrical: 0,
agent_teams: 0,
agents_with_memory: 0,
more_information_asymmetrical: 0,
},
{
name: '2021',
Expand Down Expand Up @@ -349,10 +349,10 @@ export const area_data = [
more_omniscient: 1,
agents_with_personas: 1,
prompting_and_in_context_learning: 1,
more_information_asymmetrical: 0,
pretraining: 0,
fully_omniscient: 0,
agents_with_memory: 0,
more_information_asymmetrical: 0,
pretraining: 0,
},
{
name: '2022',
Expand Down Expand Up @@ -384,48 +384,48 @@ export const area_data = [
education: 6,
policy: 2,
more_omniscient: 2,
more_information_asymmetrical: 0,
fully_omniscient: 0,
more_information_asymmetrical: 0,
},
{
name: '2023',
collaboration: 24,
collaboration: 25,
embodied: 25,
prompting_and_in_context_learning: 54,
more_than_three_agents: 17,
rule_based: 65,
not_applicable: 75,
text: 49,
prompting_and_in_context_learning: 55,
more_than_three_agents: 19,
rule_based: 67,
not_applicable: 80,
text: 52,
implicit_objectives: 18,
finetuning: 21,
finetuning: 22,
human: 52,
human_agent: 41,
human_agent: 42,
reinforcement_learning: 18,
competition: 6,
two_agents: 38,
mixed_objectives: 34,
two_agents: 39,
mixed_objectives: 36,
agents_with_memory: 17,
more_omniscient: 10,
qualitative: 23,
simulated_humans: 24,
simulated_humans: 25,
virtual: 31,
robotics: 23,
pretraining: 7,
agent_teams: 10,
agents_with_personas: 7,
model_based: 16,
agents_with_personas: 8,
model_based: 17,
fully_omniscient: 1,
health: 7,
policy: 1,
policy: 2,
education: 7,
more_information_asymmetrical: 0,
},
{
name: '2024',
collaboration: 11,
competition: 4,
mixed_objectives: 26,
text: 33,
mixed_objectives: 27,
text: 34,
embodied: 7,
virtual: 34,
robotics: 10,
Expand All @@ -434,7 +434,9 @@ export const area_data = [
agents_with_personas: 5,
human: 33,
not_applicable: 50,
rule_based: 39,
rule_based: 40,
more_than_three_agents: 11,
more_information_asymmetrical: 2,
prompting_and_in_context_learning: 45,
qualitative: 17,
human_agent: 25,
Expand All @@ -448,8 +450,6 @@ export const area_data = [
agent_teams: 8,
implicit_objectives: 8,
model_based: 19,
more_than_three_agents: 10,
more_information_asymmetrical: 1,
education: 7,
policy: 3,
},
Expand Down
60 changes: 60 additions & 0 deletions components/papers.tsx
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Original file line number Diff line number Diff line change
Expand Up @@ -126,6 +126,18 @@ export const data: Paper[] = [
},


{ title: "To Tell The Truth: Language of Deception and Language Models",
date: "04/2024",
environments: "text, mixed_objectives",
agents: "more_than_three_agents",
evaluation: "rule_based",
other: "more_information_asymmetrical",
url: "https://arxiv.org/abs/2311.07092",
bibtex: "@article{majumder2023tell,\n title={To Tell The Truth: Language of Deception and Language Models},\n author={Majumder, Bodhisattwa Prasad and Hazra, Sanchaita},\n journal={arXiv preprint arXiv:2311.07092},\n year={2024},\n month={4},\n url={https://arxiv.org/abs/2311.07092},\n environments={text, mixed_objectives},\n agents={more_than_three_agents},\n evaluation={rule_based},\n other={more_information_asymmetrical}\n}",
subsection: "environments/language",
},


{ title: "It Takes Two to Lie: One to Lie, and One to Listen",
date: "07/2020",
environments: "text, mixed_objectives",
Expand Down Expand Up @@ -2766,6 +2778,18 @@ export const data: Paper[] = [
},


{ title: "Decision-oriented dialogue for human-ai collaboration",
date: "05/2023",
environments: "collaboration, text",
agents: "two_agents",
evaluation: "rule_based",
other: "human_agent",
url: "https://arxiv.org/abs/2305.20076",
bibtex: "@article{lin2023decision,\n title={Decision-oriented dialogue for human-ai collaboration},\n author={Lin, Jessy and Tomlin, Nicholas and Andreas, Jacob and Eisner, Jason},\n journal={arXiv preprint arXiv:2305.20076},\n year={2023},\n month={5},\n url={https://arxiv.org/abs/2305.20076},\n environments={collaboration, text},\n agents={two_agents},\n evaluation={rule_based},\n other={human_agent}\n}",
subsection: "interactions/text",
},


{ title: "Collaborating with a Text-Based Chatbot: An Exploration of Real-World Collaboration Strategies Enacted during Human-Chatbot Interactions",
date: "04/2023",
environments: "text",
Expand Down Expand Up @@ -3774,6 +3798,18 @@ export const data: Paper[] = [
},


{ title: "Language agents as digital representatives in collective decision-making",
date: "12/2023",
environments: "text, mixed_objectives",
agents: "more_than_three_agents, agents_with_personas, finetuning",
evaluation: "model_based",
other: "simulated_humans, policy",
url: "https://openreview.net/pdf?id=sv7KZcUqu1",
bibtex: "@inproceedings{jarrett2023language,\n title={Language agents as digital representatives in collective decision-making},\n author={Jarrett, Daniel and Pislar, Miruna and Bakker, Michiel A and Tessler, Michael Henry and Koster, Raphael and Balaguer, Jan and Elie, Romuald and Summerfield, Christopher and Tacchetti, Andrea},\n booktitle={NeurIPS 2023 Foundation Models for Decision Making Workshop},\n year={2023},\n month={12},\n url={https://openreview.net/pdf?id=sv7KZcUqu1},\n environments = {text, mixed_objectives},\n agents = {more_than_three_agents, agents_with_personas, finetuning},\n evaluation = {model_based},\n other = {simulated_humans, policy}\n}",
subsection: "applications/policy",
},


{ title: "Social Simulacra: Creating Populated Prototypes for Social Computing Systems",
date: "08/2022",
environments: "text, implicit_objectives",
Expand Down Expand Up @@ -4182,6 +4218,18 @@ export const data: Paper[] = [
},


{ title: "Characterizing manipulation from AI systems",
date: "10/2023",
environments: "n/a",
agents: "n/a",
evaluation: "n/a",
other: "n/a",
url: "https://dl.acm.org/doi/10.1145/3617694.3623226",
bibtex: "@inproceedings{carroll2023characterizing,\n title={Characterizing manipulation from AI systems},\n author={Carroll, Micah and Chan, Alan and Ashton, Henry and Krueger, David},\n booktitle={Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization},\n pages={1--13},\n year={2023},\n month={10},\n url={https://dl.acm.org/doi/10.1145/3617694.3623226},\n environments = {n/a},\n agents = {n/a},\n evaluation = {n/a},\n other = {n/a}\n}",
subsection: "concerns/risks",
},


{ title: "Two Types of AI Existential Risk: Decisive and Accumulative",
date: "01/2024",
environments: "n/a",
Expand Down Expand Up @@ -4422,6 +4470,18 @@ export const data: Paper[] = [
},


{ title: "Social Contract AI: Aligning AI Assistants with Implicit Group Norms",
date: "12/2023",
environments: "text, mixed_objectives",
agents: "prompting_and_in_context_learning, more_than_three_agents",
evaluation: "rule_based",
other: "n/a",
url: "https://arxiv.org/abs/2310.17769",
bibtex: "@inproceedings{franken2023social,\n title={Social Contract AI: Aligning AI Assistants with Implicit Group Norms},\n author={Fr{\\\"a}nken, Jan-Philipp and Kwok, Samuel and Ye, Peixuan and Gandhi, Kanishk and Arumugam, Dilip and Moore, Jared and Tamkin, Alex and Gerstenberg, Tobias and Goodman, Noah},\n booktitle={Socially Responsible Language Modelling Research},\n year={2023},\n month={12},\n url={https://arxiv.org/abs/2310.17769},\n environments={text, mixed_objectives},\n agents={prompting_and_in_context_learning, more_than_three_agents},\n evaluation={rule_based},\n other={n/a}\n}",
subsection: "concerns/safety",
},


{ title: "Identifying the Risks of LM Agents with an LM-Emulated Sandbox",
date: "09/2023",
environments: "text, virtual",
Expand Down
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