Domain	Level	Vanilla	Cot	Link	Content
segment	claim	segment	claim	segment	claim	segment	claim
Vicuna-33B
All	seg.	28.9/18.0/73.3	32.5/20.6/77.6	25.8/17.2/51.3	29.5/20.5/52.9	27.7/17.2/71.5	32.1/20.4/75.2	29.4/18.0/80.8	32.2/20.5/75.0
resp.	47.8/35.3/74.1	49.4/34.9/84.4	41.5/32.6/57.1	40.0/32.3/52.5	46.4/34.4/71.3	48.6/34.7/81.2	48.5/34.8/80.1	49.1/35.4/80.5
WK	seg.	42.1/29.6/72.8	44.8/30.4/85.0	34.1/29.3/40.8	26.6/32.7/22.5	39.9/27.8/70.7	44.5/30.4/83.0	41.2/27.5/81.6	44.3/30.4/81.6
resp.	58.8/52.3/67.1	60.7/46.5/87.1	44.8/55.2/37.6	26.2/63.6/16.5	54.9/49.1/62.4	61.7/47.7/87.1	57.3/45.8/76.5	60.0/46.5/84.7
Sci/Tech	seg.	24.7/14.3/90.2	23.8/14.7/62.4	20.4/12.7/52.9	12.7/8.8/22.8	22.8/13.5/73.5	20.2/12.8/47.5	25.4/14.8/90.2	22.1/14.0/52.5
resp.	44.9/29.9/89.7	46.0/31.2/87.2	33.6/26.5/46.2	26.5/22.0/33.3	41.4/28.7/74.4	39.1/27.7/66.7	45.3/30.0/92.3	44.4/32.2/71.8
Wri/rec	seg.	27.1/17.2/63.7	36.2/23.4/79.8	19.5/14.7/28.8	40.3/31.5/56.2	25.2/15.6/65.9	36.2/23.5/79.4	28.2/17.0/80.9	35.8/23.2/77.9
resp.	51.2/40.2/70.2	52.0/35.4/97.9	33.7/31.9/35.7	51.0/49.0/53.2	50.4/38.0/74.5	51.7/35.4/95.7	54.7/39.8/87.2	52.8/37.1/91.5
Math	seg.	32.6/21.3/68.9	-	34.1/20.7/96.7	-	-	-	-	-
resp.	47.5/37.2/65.6	-	48.6/32.6/95.3	-	-	-	-	-
Reasoning	seg.	25.7/15.2/83.8	-	23.7/14.7/61.5	-	-	-	-	-
resp.	38.5/24.6/89.4	-	37.6/25.2/74.5	-	-	-	-	-
ChatGPT
All	seg.	4.9/15.5/2.9	11.8/20.7/8.3	3.8/29.1/2.0	7.4/19.2/4.6	7.4/23.9/4.4	14.1/33.3/8.9	15.7/35.6/10.1	25.5/34.3/20.3
resp.	15.6/32.6/10.3	20.5/31.4/15.3	11.0/39.1/6.4	15.6/36.4/9.9	18.9/39.3/12.5	23.7/43.4/16.3	28.0/47.5/19.9	33.9/45.5/27.0
WK	seg.	9.1/27.6/5.4	18.4/32.2/12.9	2.6/33.3/1.4	13.5/28.3/8.8	15.1/35.9/9.5	24.9/35.9/19.1	25.2/34.9/19.7	33.1/37.0/29.9
resp.	18.5/43.8/11.8	21.4/44.4/14.1	8.8/66.8/4.7	17.7/52.9/10.6	27.4/50.0/18.8	37.8/57.1/28.2	42.8/51.7/36.5	42.2/50.0/36.5
Sci/Tech	seg.	4.1/6.5/2.9	17.0/21.9/13.9	3.9/100.0/2.0	-/0.0/0.0	9.5/15.2/6.9	3.7/28.6/2.0	9.2/20.7/5.9	28.3/32.9/24.8
resp.	17.2/26.3/12.8	26.2/36.4/20.5	5.1/100.0/2.6	-/0.0/0.0	20.7/31.6/15.4	13.6/60.0/7.7	15.4/30.8/10.3	43.2/45.7/41.0
Wri/rec	seg.	0.7/4.2/0.4	6.4/9.3/4.9	-/0.0/0.0	4.5/7.1/3.3	-/0.0/0.0	12.6/26.8/8.2	20.1/54.1/12.4	28.6/36.4/23.5
resp.	9.8/21.4/6.4	23.5/21.8/25.5	7.4/28.6/4.3	21.6/29.6/17.0	-/0.0/0.0	21.9/30.8/17.0	33.9/83.3/21.3	42.9/48.7/38.3
Math	seg.	10.1/21.6/6.6	-	13.8/29.0/9.0	-	-	-	-	-
resp.	18.2/33.3/12.5	-	21.7/35.7/15.6	-	-	-	-	-
Reasoning	seg.	3.8/25.0/2.0	-	1.3/25.0/0.7	-	-	-	-	-
resp.	10.7/33.3/6.4	-	3.9/25.0/2.1	-	-	-	-	-
GPT4
All	seg.	35.4/64.0/24.4	33.1/45.8/25.9	42.0/68.1/30.4	31.7/30.2/33.3	45.0/69.8/33.2	40.4/50.3/33.8	48.3/62.9/39.2	46.0/52.2/41.2
resp.	48.3/62.4/39.4	46.2/53.8/40.4	53.8/64.7/46.1	52.6/49.5/56.0	52.8/66.0/44.0	50.5/57.5/45.0	56.9/64.3/51.1	55.7/59.8/52.1
WK	seg.	40.2/76.9/27.2	39.2/66.1/27.9	50.2/79.4/36.7	52.9/67.4/43.5	50.2/82.8/36.1	44.6/64.9/34.0	53.6/80.8/40.1	50.4/65.9/40.8
resp.	49.6/77.5/36.5	45.2/71.8/32.9	60.7/82.0/48.2	61.4/69.1/55.3	56.9/82.2/43.5	56.3/76.0/44.7	61.3/80.8/49.4	58.2/73.2/48.2
Sci/Tech	seg.	19.7/60.0/11.8	28.8/52.6/19.8	25.2/64.0/15.7	21.4/46.7/13.9	28.1/69.2/17.7	27.9/35.9/22.8	34.7/59.5/24.5	31.5/51.1/22.8
resp.	36.4/62.5/25.6	34.0/64.3/23.1	42.1/66.7/30.8	45.2/60.9/35.9	40.0/68.8/28.2	31.6/50.0/23.1	38.2/44.8/33.3	36.1/50.0/28.2
Wri/rec	seg.	22.3/89.5/12.7	7.3/11.0/5.5	26.2/89.1/15.4	13.9/10.4/20.6	46.5/89.4/31.5	21.6/28.1/17.5	52.2/63.8/44.2	31.3/33.3/29.5
resp.	30.5/75.0/19.1	33.3/32.7/34.0	31.6/90.0/19.2	38.2/27.6/61.7	46.9/88.2/31.9	42.2/44.2/40.4	70.0/84.8/59.6	64.8/58.6/72.3
Math	seg.	38.1/51.4/30.3	-	38.4/48.2/32.0	-	-	-	-	-
resp.	45.1/53.2/39.1	-	48.4/50.0/46.9	-	-	-	-	-
Reasoning	seg.	51.9/58.5/46.6	-	63.8/67.9/60.1	-	-	-	-	-
resp.	65.5/57.1/76.6	-	69.1/60.3/80.9	-	-	-	-	-
Table 4: Segment-level with Response-level results of factual error detectors powered by Vicuna-33B, ChatGPT and GPT-4 on FELM, numbers are arranged according to F1/Precision/Recall. We do not involve claim-based methods for math and reasoning domains cause it is often difficult to extract self-contained, atomic claims from these two domains. There is no reference for math and reasoning either. To compute the overall average for "Link" and "Doc", we account for the vanilla numbers for math and reasoning domains since these two methods degenerate to vanilla in this case. For claim-based method, we use segment-based numbers on math and reasoning domains to compute the overall average since claim-based method degenerates to segment-based in these domains. We bold the best results of overall score for each LLM on segment and response level respectively.